Showing posts with label Google. Show all posts
Showing posts with label Google. Show all posts

How Google’s AI Uses “Query Fan-Out” to Find Traffic Camera Data

If you've ever wondered how Google finds red light camera locations, speed camera zones, or traffic violation videos so quickly—it's thanks in part to a search technology called “query fan-out.” This AI-powered technique helps Google pull data from a wide array of sources in milliseconds, improving the quality of its search results for enforcement-related queries.

🔍 What is Query Fan-Out?

Query fan-out means that your search is split and distributed across many databases or indexes simultaneously. For example, when someone searches "speed camera locations in Chicago," Google doesn't send that query to just one database—it sends it to dozens of indexes: maps, news, videos, shopping, and even legal databases.

🚦 How This Applies to Traffic Enforcement

At PhotoEnforced.com, we know firsthand how important it is to index thousands of traffic camera locations accurately. Google's AI now uses fan-out to:

  • Scan image databases (e.g., Google Street View) for camera poles
  • Cross-reference local news about new enforcement installations
  • Pull from government PDFs or city council meeting notes
  • Index crowdsourced platforms like ours and community forums

🤖 AI + Real-Time Traffic Enforcement = Faster Alerts

With query fan-out, AI systems can also integrate live data, such as traffic sensor feeds or license plate recognition logs. This is why a query like "red light camera ticket appeal San Diego" might surface a legal article, a court link, and a blog post from a traffic attorney—all within seconds.

📡 Why It Matters for Drivers

For drivers concerned about getting ticketed without warning, understanding how AI-driven search works is key. It allows platforms like ours to become more discoverable and for you to find enforcement data more easily—even before your local city updates its own website.

📌 Want Real-Time Alerts?

We're building a subscription-based service to warn you of red light cameras and speed cameras on your route—integrated with Apple Maps and Google Maps using real-time, crowdsourced data.

Stay ahead of automated enforcement with smarter data. Sign up to get alerts, and help us improve our map by submitting new locations.

Why Are Mapping Companies Afraid to Publish Camera Locations?

black, red, yellow country shape 

In an age where real-time traffic updates, satellite imagery, and AI-powered routing are commonplace, one question stands out: Why do most mapping companies avoid showing speed and red-light camera locations? With drivers increasingly reliant on navigation apps like Google Maps, Apple Maps, and Waze, the lack of transparency around traffic enforcement camera locations raises serious concerns about data censorship, user trust, and government influence.

The Growing Demand for Camera Location Transparency

Speed and red-light cameras are now widespread across major U.S. cities—from New York to Chicago to Los Angeles. These cameras are marketed as tools to improve public safety by deterring dangerous driving behaviors. But many critics argue they're also a revenue-generating tool for municipalities.

For drivers, knowing the location of speed and red-light cameras isn't just about avoiding tickets—it's about making informed driving decisions. That’s why demand for apps and websites that publish camera locations has skyrocketed. So why aren’t the biggest names in mapping fully supporting this?

1. Legal and Regulatory Pressure

Mapping giants operate globally, which means they face a complex patchwork of local laws and regulations. In some countries, publishing the location of speed enforcement cameras is outright banned. Even in the U.S., some jurisdictions have lobbied against features that reveal camera locations, arguing it undermines public safety efforts.

Is It Illegal in Germany and Europe?

Yes—and this is a major reason mapping companies remain cautious.

In Germany, it is illegal to use or operate apps or devices that provide real-time speed camera alerts while driving. Section 23(1c) of the German Road Traffic Act prohibits using such functionality in vehicles, and violators face fines and points on their license. Passive knowledge (like memorizing camera locations or checking before the drive) is allowed—but live alerts during driving are banned.

Here’s a snapshot of laws in Europe:

Country Legal to Use Speed Camera Alerts While Driving?
Germany ❌ Illegal
France ❌ Illegal (workarounds like "danger zones" used)
Switzerland ❌ Very illegal—even owning the app
UK ✅ Legal for fixed cameras
Netherlands ✅ Generally allowed
Italy/Spain ✅ Mixed enforcement

Because mapping companies often deploy uniform global features, they tend to restrict or blur enforcement camera data in countries with strict laws—sometimes impacting their features even in more lenient regions.

2. Fear of Political and Governmental Backlash

Publishing camera locations can put tech companies at odds with local governments and law enforcement agencies. These partnerships are often essential for access to infrastructure data, transit updates, and emergency response systems.

Criticizing or circumventing traffic enforcement tools might jeopardize those relationships. For some companies, avoiding conflict with city governments is more important than serving driver interests.

3. Liability and Public Safety Concerns

Mapping companies must also weigh ethical concerns. Critics of camera alerts argue that making camera data widely available could encourage reckless driving—drivers might only slow down near known camera points and speed elsewhere.

This puts companies in a tough position: if someone misuses the information and causes harm, could the platform be held partially responsible? To avoid these murky liability waters, many simply choose not to include real-time camera data.

4. Data Sourcing Challenges

Another overlooked factor is data reliability. Camera installations frequently change—new ones are added, and older ones are decommissioned or relocated. Maintaining an accurate, up-to-date global database of camera locations is a monumental task that requires constant local data verification.

Crowdsourced platforms like Waze have made strides in this area, but even then, accuracy varies widely by location. This makes it hard for major players to justify large-scale implementation, especially if the data can't be verified.

5. The Rise of Independent Alternatives

With mainstream mapping tools reluctant to offer full camera visibility, independent websites and apps are stepping in to fill the gap. Platforms like Speedtrap.org, PhotoEnforced.com, and various Reddit forums crowdsource camera location data and provide regularly updated maps.

In fact, sites like DIYIceBaths.com (in an upcoming article) are compiling detailed speed camera lists by city, starting with Chicago's expansive camera network. These platforms offer not just locations, but context—such as when the cameras are active and which ones are most ticket-prone.

Conclusion: Transparency vs. Control

At the heart of the issue is a clash between driver autonomy and centralized control. Mapping companies may cite safety, compliance, and legal complexity as reasons to hide traffic camera data, but users are growing increasingly skeptical. In a digital era built on open data and real-time insights, the decision to withhold information feels outdated—and potentially manipulative.

If companies like Google and Apple want to maintain user trust, it might be time to embrace camera transparency and let drivers make informed choices.

How to Use Google Street View for Finding Red Light Cameras

How To View Intersection Street View
How To View Intersection Street View

How To View Intersection Street View
Google Street View

In today’s fast-paced world, staying informed about traffic regulations and enforcement measures is crucial for safe driving. One of the most effective ways to identify the locations of red light cameras is by utilizing Google Street View. This powerful tool allows you to virtually explore streets and intersections from the comfort of your home. In this article, we will guide you through the process of using Google Street View to find red light cameras and enhance your awareness while driving.

Why Use Google Street View?

Google Street View is an invaluable resource for drivers. It provides panoramic views of streets and neighborhoods, allowing users to familiarize themselves with their surroundings. By using Google Street View, you can:

  • Identify Red Light Camera Locations: View specific intersections where red light cameras are installed, helping you prepare for potential enforcement.

  • Plan Your Route: Navigate through areas you may not be familiar with, making it easier to avoid unwanted tickets.

  • Enhance Your Driving Strategy: Understand traffic patterns and signals at intersections, which can aid in safe driving practices.

Step-by-Step Guide to Finding Red Light Cameras with Google Street View

1. Access Google Maps

Start by opening our maps in your web browser or mobile app. Ensure you have a stable internet connection to load the map data efficiently.

2. Enter Your Desired Location

Type in the address or name of the city where you want to check for red light cameras. Zoom in to the specific area you are interested in, especially near intersections known for traffic enforcement.

3. Activate Street View

Once you are zoomed in, look for the yellow “Pegman” icon located in the bottom right corner of the screen. Click and drag this icon to the area you wish to explore. Streets where Street View is available will be highlighted in blue. Release the icon to enter Street View mode.

4. Navigate the Street View

Now that you are in Street View, you can virtually navigate through the streets. Use the arrows on the screen to move forward or turn around. Pay attention to traffic signals, signage, and the surrounding environment as you explore the intersection.

5. Look for Red Light Cameras

As you approach intersections, keep an eye out for the following indicators of red light cameras:

  • Camera Signs: Look for signage indicating the presence of red light cameras, which often appears near traffic signals.

  • Camera Equipment: Observe the intersection for any camera apparatus mounted on poles or traffic lights.

  • Traffic Patterns: Analyze the flow of traffic and any road markings indicating the presence of enforcement measures.

6. Check Local Regulations

In addition to visual cues, it’s essential to check local traffic regulations regarding red light cameras. Many cities have websites or resources that provide updated information about camera locations, fines, and enforcement practices.

Tips for Using Google Street View Effectively

  • Use Historical Views: Google Street View often has historical imagery available. Click on the clock icon in the upper left corner of the image to see previous versions of the street view. This feature can help you determine if red light cameras were installed in the past.

  • Combine with Local Resources: Use Google Street View in conjunction with local government websites, which often provide official information about red light camera locations and traffic laws.

  • Stay Updated: Red light camera locations can change, so it’s a good idea to periodically check Google Street View for updates, especially if you frequently drive through a specific area.

Conclusion

Using Google Street View to find red light cameras is an effective way to enhance your driving awareness and avoid potential traffic violations. By familiarizing yourself with camera locations and understanding the traffic patterns at intersections, you can make informed decisions while on the road. Whether you're planning a route or simply exploring new areas, Google Street View can be a valuable tool for any driver committed to safe and responsible driving.

Read this if you are unclear about the difference between red light camera and traffic cameras.  Please comment on the discussion page if a camera needs to be removed.  

Impact of AI on False Information Using Inaccurate Map Data

Artificial Intelligence (AI) has become an indispensable tool in various industries, revolutionizing how we process and interpret data. However, AI's reliance on data, especially map data sourced from websites that occasionally provide false positives, has raised concerns about its accuracy. In this SEO-friendly article, we will explore the intricacies of how AI generates false information when using map data from websites that may occasionally yield false results.

Real Time Traffic + Camera Locations

the first iphone
We Want Real-Time Traffic + Photo Enforced Locations 

Here are a few popular options:

Google Maps: Google Maps provides real-time traffic updates and can display traffic congestion, accidents, and construction zones. It also offers a feature called "Street View" that allows you to view locations using 360-degree panoramic imagery.

Waze: Waze is a community-based navigation app that relies on user input to provide real-time traffic information. It offers alerts about accidents, road closures, and police presence, as reported by other users.

Local Transportation Websites: Many cities and regions have their own transportation departments or agencies that provide real-time traffic information and camera feeds on their websites. You can search for the transportation department or traffic management agency of your specific location to find relevant information.

Traffic News Websites and Apps: Numerous websites and mobile applications specialize in providing up-to-date traffic information. These platforms aggregate data from various sources and can offer details about traffic conditions, accidents, and road closures.

When Will Google Maps Sync With Traffic Lights?


According to this article, Google is experimenting with showing traffic lights in Maps

Google Maps is experimenting with a new feature that displays traffic lights directly in Maps and assumes this will be for Waze also. Traffic lights will be visible both while navigating or simply browsing around.

This doesn't mean that the red lights, yellow lights, green lights will be displayed immediately.  It will likely just be a database of traffic lights and locations.  This is what it will look like below on Google Maps.


Real-time signals would be very cool.  There is a company called Connected Signals which connects the traffic signal to the cloud and will allow mapping companies to display and optimize traffic using these signals. 


Connect Signals has a product called Transit Signal Priority (TSP), automatic Pedestrian Signaling (PedSig), and a variety of other applications without requiring the acquisition and installation of additional capital infrastructure, including roadside equipment such as special-purpose optical or radio-frequency devices or DSRC installations. The system’s key innovations are its use of existing infrastructure (including the public cellular network and the city’s Traffic Management System (TMS) and traffic network) to securely provide these capabilities, its use of mobile devices to request action from the signal network, including pedestrian walk signals, and its software-defined nature that supports extension and modification of capabilities without requiring hardware modifications or field-service modifications.

How Does Google Maps Know Traffic?


Google Maps continually refreshes based on anonymously tracked user data in mobile apps, traffic light camera sensors & ALPR traffic cameras, and satellite data to make sure the app is displaying the most accurate traffic conditions possible.  Traffic data is also sourced by the wireless carriers AT&T & Verizon with vehicle data.  Ever wonder why your car is giving you free navigation data?  This is why because they are using your data to measure traffic.  What is ALPR

If you’ve ever used Google Maps, you’ve likely seen streets colored green, orange, or bright red if you live in a major city. Green roads mean traffic is moving normally (hardly ever), but orange and red represent slowdowns. Red slowdowns show up on the map when users in navigation mode are currently traveling at slower-than-usual speeds on that part of the road and are applied by Google automatically. However, once other divers using Google Maps are able to get through the area at higher speeds, Google will remove the slow down status for that location even if other users are still driving slower.

How Are Accidents & Slowdowns Reported? 

It’s unclear how many alerts are necessary for Google Maps or Waze to register it a slow traffic location or accident, but according to some experiments, it only took a single car driving faster to undo the traffic jam map status.

That said, it appears that Google Maps ignores when lots of users are at a standstill. Interestingly, not all vehicles are treated equally. Google Maps can tell the difference between a car, motorcycle, and other vehicles (at least in certain countries and regions). So even though a fast scooter might be able to weave its way through a traffic jam, Google Maps could—in some cases—recognize that the smaller vehicle’s movement doesn’t necessarily mean that regular traffic conditions have resumed.

Google Maps also updates traffic reports based on user input like Waze in addition to passive, anonymized location and movement tracking to help keep conditions updated.

Accidents, construction zones, speed traps, and other alerts can all be reported in Google Maps & Waze, and the more users that report an alert help it show up faster on the map for others and potentially help them avoid slowdowns and find better routes if necessary.  While in Google Maps’ navigation mode, tap the “+” icon (third icon down on the right-side menu). 

How Does Google Maps Reroute and Calculate Estimated Time of Arrival (ETA)

Google compares the speeds of its Google Maps users with speed limit information to calculate estimated arrival times. Basically, it takes how fast you’re actually moving, how fast you should be moving based on speed limits, how fast other drivers are going and adjusts how, and how much further you have on your route to determine your ETA.

Google Maps will also cross-reference user-reported conditions and other traffic data is monitors with your route and current speeds, and will adjust your arrival times if it notices a slowdown or other incidents along your route. Once the app has determined the severity and length of the slowdown, it will alert users whose routes are affected and suggest alternative directions if it’s ultimately faster.

Google Maps and Waze reroute suggestions aren’t always perfect, however. The algorithm can only respond to the most recent data and make a guess—it certainly can’t tell the future, either—so rerouting won’t always be faster (or necessary).  Read more about this study

Google Maps 10x Price Increase = Downgraded User Experiences

Unfortunately, Google Maps has raised pricing by 10x on us and ZeeMaps.com.  This price hike has forced us to publish our map data using Google Fusion Tables. Should you wish to search or add new locations to the map please use our regional state and city pages where we will continue to use the ZeeMaps data management service.

We are now obligated to pay Google Maps a $5 CPM (.50 cents previously) to publish our maps while we only average approximately $3 CPM from Google Advertising.  If you do the math that means we are losing $2 per thousand visitors now if we continue to use Google Maps.  Before the price hike, we could make a reasonable but not greedy $2.50 per thousand visitors. Publishing map data is not exactly a profitable business anymore.

We apologize for your downgraded experience and you can thank Google Maps no flexibility on pricing model for startups or companies that are virtually non-profit.

How Use Google Map Layers Instead of Waze


How many times have you used Waze and a false camera has been reported?  If you are like me there are a lot of false positives in the map database.  Most drivers do not understand the difference between traffic/license plate camera readers and red light camera/speed cameras.  We know this because of the thousands of clarification questions we get each year from readers.

Most people don't want to download and use multiple navigation apps.  So, Google My Maps is currently the best way to keep track of the places that matter to you. This free service allows you to easily make custom maps to remember locations such as red-light cameras and speed cameras.   Download the Google My Maps here and use it along with Google Maps.  This is a great way to integrate your personal map data onto your Google Maps.

We hope that Google Maps will eventually make this as easy to use as the traffic layer option.  We would like to use a Google Maps layer of camera data similar to traffic,  This way users could add voice/visual notifications of when approaching a dangerous intersection, speed cameras, and red light camera locations.

Is the PhantomAlert vs Waze Lawsuit Over?

Judge, siding with Google, refuses to shut down Waze in wake of alleged theft by PhantomAlert. "This rule applies even when the 'facts' are inaccurate."

Google, the owner of the traffic app Waze, has managed to beat back a copyright lawsuit filed by lesser-known rival PhantomAlert. Back in September 2015, PhantomAlert sued Google over allegations of copyright infringement. Google purchased Waze in June 2013 for over $1 billion. PhantomAlert alleged that after a failed data-sharing deal between itself and Waze collapsed in 2010, Waze apparently stole PhantomAlert’s "points of interest" database. In a judicial order filed earlier this month, the San Francisco-based federal judge found that PhantomAlert could not allege a copyright claim on simple facts of where different places actually are. As US Magistrate Judge Joseph Spero wrote, granting Google's motion to dismiss:

The Supreme Court has made clear that facts are not copyrightable, though the creativity associated with the selection and arrangement of those facts in a compilation may be protectable (as discussed below). See Feist, 499 U.S. at 347-48. This rule applies even when the "facts" are inaccurate, as was the case in Feist, where the defendant had copied a handful of false listings that were "seeded" in the plaintiff’s directory. Id. at 344.

While it is possible to assert copyright over a set of facts that are arranged or organized in a particular way, the court found that PhantomAlert had not done that. As Judge Spero continued:

Here, Plaintiff has not alleged any specific facts that suggest that the arrangement of the information in its Points of Interest database is characterized by any originality. There are no allegations that the data is organized into categories, for example, or that there is anything creative about the way the data is displayed. Further, to the extent Plaintiff alleges the information in the database is edited so as to alert the driver of the Point of Interest before reaching the actual location, see Compl. ¶ 22, there appears to be no creativity involved in these changes. As discussed above, the arrangement of the Points of Interest on the map merely effectuates the purpose of the database; presumably, any app intended to alert drivers of the types of points of interest contained in Plaintiff’s database would make very similar changes.

However, the judge will allow PhantomAlert to file an amended complaint no later than mid-January 2016.

"We look forward to amending our complaint to reflect the significant creativity and judgment that underlie our client's individual data elements, and its compilation of these data into an original database," Karl Kronenberger, PhantomAlert’s attorney, told Ars via e-mail.  

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Google+ Has Been Removed

PhotoEnforced.com has just started using Google+ in an attempt to engage further with readers and red light camera database contributors.  Please feel free to post links and articles that might be helpful to our database or for changing laws.  You can find PhotoEnforced.com Google+ here and don't forget to add us to your circles.  I also encourage you to follow Jeff Cohn Google+ as well.  PhotoEnforced.com Twitter and PhotoEnforced.com Facebook should also be followed if you use them for actively as well.

I am pretty impressed with what I’ve seen so far in the launch. Its faster and less cluttered than Facebook. One of the key points for me though is that it is very intuitive and more flexible for filtering views. I think Google+ will eventually become the platform for business networking and Facebook will become the standard for friends and family networking. 

Google+ is not a Facebook killer but simply a supplement. If you are a heavy Google users for search, email and advertising like we are then enjoy it for the future.

What is NAVTEQ Worth To Nokia?


Nokia purchased NAVTEQ / Nokia (NYSE: NOK) for $8.1 billion dollars in 2007 when Nokia's stock was trading upwards of $30+ dollars per share.  Now Nokia's stock is trading at less than $6 per share and sinking.  Nokia's market cap is approximately $20B with annual sales of $55B.  When Nokia purchased Navteq it had a market capitalization of $120B.  So this begs the question of how much is NAVTEQ worth to Nokia these days?  It appears that NAVTEQ will do €600 million in revenue ($1B in US dollars) in 2011 while still losing money.

With Nokia struggling to get traction in the smartphone space it makes sense that NAVTEQ could be a ripe buyout candidate from a company like Microsoft or Apple who desperately need a map platform.  NAVTEQ products embedded in just about every car that has a navigation system embedded in the car.  Overprice I must say but the car manufacturers are selling the software for thousands of dollars when Google Maps is free.   Google Maps on the other hand is free but ad support and works great for most smartphone users.  Google Maps is not as reliable as NAVTEQ for navigation but it gets the job done at a fraction of the cost.  

Google Maps Needs Safety Cameras


Google Maps users deserve red light cameras and speed cameras as a layer for navigation. We have a database of 7,000 cameras we have been accumulating for the last 10 years. We have tried numerous times to reach out to Google and provide this data to them for use on Google Maps without any success. When we first started collecting the data 10 years ago there were only a few hundred cameras in use across the US. Now there are about 7,000 intersections and locations that are under photo enforcement surveillance.  Contrast that to Europe has 50,000 cameras and most of them are speed cameras. The majority of the cameras in the US are red-light cameras and not speed cameras like in Europe.

Every time we talk to large companies who want to use the data in the US they seem worried about the legality of using the data. They ask questions like:  Is it legal to use this information? What happens if a driver gets into an accident after using the information while driving?   I am not sure I understand their concerns considering people are not trying to evade the law by using the data.  Drivers simply want to know where these locations are to avoid fender bender collisions.  People drive erratically around photo-enforced locations and the residual effect are typically small accidents instead of t-bones.

Anyhow, a new user interface for Google Maps layers is being tested. The new UI enlarges the buttons that let you switch views between content layers. Now you can quickly switch between custom maps, driving directions, local search results, and Google Maps layers. Google Maps also shows the weather for the current location. It's very useful and it's about time they start putting some content on the map that helps people drive safely.

Trinity Red Light Camera Database Questions


I am continually amazed at how companies who sell radar detectors and our red light camera database competitors claim to have a more comprehensive database than we do.  PhotoEnforced.com was the first US company to start sourcing this data back in 2000 and our next competitor did not come onto the market until 2005.  How do they do it?  Well, they copied our free database online and started adding to it and selling it as their own proprietary database.  Simply ask the next time you want to license Trinity's database when they got started collecting the data and how they did it.  You probably won't get a straight answer because they will never admit that they stole information from PhotoEnforced.com.  Photoenforced.com has 7,000 - 8,000 locations in our database as of today and it's growing every day.  We also have removed hundreds of locations from our database that are inactive or not accurate.  What another competitor can claim they have a comparable database that is free?

I have asked several of these companies including to do a public "bake-off" comparing the number of locations in their database.  Still, no one wants to compete with crowdsourcing or user generated content because our competitors say they get too many false positives.   Here is what Trinity claims on their web site. Trinity is more accurate and complete than other databases because our team gathers more data than anyone else, to give you the most detailed alerts on the market.  In addition to the camera locations themselves, we plot:
  • the camera type
  • directional vectors
  • speed limits (where applicable)
  • ticket directions
  • “no ticket” directions
When it comes to camera location data, accuracy is key. One of the reasons why Cheetah detectors are better than others is that our proprietary database is 100% verified by Cheetah’s professional database team, which monitors all media and internet channels as well as communicating directly with police departments, city traffic engineers, city records, Municipal Codes of Ordinances, traffic bureaus, state transportation agencies, our own network of trusted camera spotters and field survey teams.

Why doesn't Trinity publish the locations in the database?

Here is a response from Trinity on their Facebook page. Comparing the number of locations won't give an accurate measure of the quality of the Trinity 2.0 database compared to other databases. For example, some other companies actively promote they have camera numbers into the millions, which would lead to extensive numbers of false alerts. We take great care to verify our camera locations are accurate and update regularly.

PhotoEnforced.com Response

Photoenforced.com started collecting the 10 years ago and have cameras in 1200 markets. It's impossible to gather the data without crowdsourcing. I agree that verification is important but that is why we have 2000+ people per day coming to PhotoEnforced.com and using the database. Not even Google or Navteq with all its resources can verify locations. It's a false claim and your database will always be behind the curve. Post settings Labels Data, Database, Google, Google Maps, Navigation, Navteq, red-light cameras, Traffic, Trinity Published on 10/18/10, 4:11 PM Pacific Daylight Time Links Location Search Description Options Custom Robots Tags default

Can Wireless Regulate Hazardous Driving?

car pileup
Can Wireless Regulate Hazardous Driving?

Written by: J. Gerry Purdy of MobileTrax, 4/28/2010

With a topic like this, I absolutely have to say I believe in speed limits, and I support the hard-working and often not appreciated public safety officers that help deal with accidents and problems that deserve their attention.

However, when you consider the time that highway patrol officers and local police officers spend on the side of the road with a radar gun simply to manage those who are driving above the speed limit, it’s easy to see that this is not a good, efficient way for these public safety officers to deal with the problems of society -- especially when there are so many drug problems and serious crimes that need greater attention.

The nature of a ‘speed limit’ has become accepted in society as a ‘guideline’ – a general indicator of the speed that people should travel. Of course, unless you’ve been a recluse at home for the past few years, drivers on major Interstate highways almost never drive slower than the posted speed limits. Most states have established laws that define ‘speeding’ as a driver and the car exceeding the posted speed limit by 10 mph. Thus, if the posted sign says 65 mph, then most of the time you won’t get pulled over for a speeding ticket when doing 74 mph. Bad weather and driving congestion naturally alter the average speed downward.

When I see these ‘speed traps,’ I get mad -- but not for the reason you might think. I’m not upset that police officers are trying to catch speeders. Rather, I’m upset because these paid guardians of our public safety are wasting so much of their valuable time having to sit on the side of the road just to give out a few tickets to those who are driving too fast.

I believe there’s a much better solution, and there’s already an indication that systems are coming into place that may eliminate the need for any highway patrol officer to ever worry about simple vehicle speed enforcement again.

Here’s the way I believe this new solution should work in the long term. All cars will have multiple transmitting radios -- from Wi-Fi to 3G or 4G cellular to mesh networking -- so that cars can network with each other and be connected to the highway patrol. Most cars have a toll sensor in the window as well that isn’t active but does allow the car to be recognized when it passes a toll booth or toll lane.

There are two basic driver issues that need to be addressed: 1) those that speed and 2) those who drive recklessly.

Regarding driving recklessly (or appearing to do that via something wrong with the car) should be dealt with via intervention. First, the local wireless mesh should result in vehicles self-programmed to get out of the way. Second, the local police and highway patrol should have the right to intervene and stop the car. We’ve all seen situations where two cars are racing each other or someone is participating in ‘road rage’ with someone else by trying to get out ahead and then cut them off, using their car as a weapon. These situations can easily be detected. Once that happens, the local police or highway patrol should take over control of the car and pull them safely over to the side of the road.

For those that want to go faster than the posted speed limit, e.g. they want to drive 80 mph in a 65 mph zone, it seems we should change the entire process of scolding violators to automatically generating revenue for the privilege of driving faster and getting to your destination more quickly. Once cars are outfitted with wireless communications, public safety can communicate with each car, and the cars (and trucks) can then also communicate with each other (via mesh networking).

Here’s the core recommendation: each state sets up a ‘speed tax’ that is posted (and available on the displays in the wireless-enabled vehicles). Then, cars that speed are simply charged a fee based on how fast they are going. Want to get to grandma’s faster? OK, drive 75 mph instead of 65 mph, but you’ll have to pay a toll (which might be called euphemistically a ‘speed tax’) for doing that. The speed tax schedule could look something like this:

* Less than 40 mph, $1 per mile (yes, charge people for going too slow)
* 40 to 65 mph, $0
* 65-69 mph, $.10 per mile in town, $.05 out of town
* 70-74 mph, $.20 per mile in town, $.10 out of town
* 75-79 mph, $.50 per mile in town, $.15 out of town
* 80-84 mph, $1.00 per mile in town, $.20 out of town
* 85-90 mph, $2.00 per mile in town, $.25 out of town
* Greater than 90, the vehicle is slowed down by the highway patrol or permission must be granted by the public safety officials, e.g. an emergency.

Thus, if you need to drive 200 miles to grandma’s house but wanted to drive at 80 mph, you’d get charged 200 miles at $.20/mile or $40 for the privilege to do so.

You can see part of these systems already in place in Florida were coming out of Miami, you can get access to the SunPass extra lanes that are not as crowded. The Florida Turnpike system adjusts the charge to use the extra lanes based on the time of day. Thus, during rush hour the charge is typical $2.75 and off-peak it’s $.35. While they don’t charge for the speed you are driving yet, there’s no reason they couldn’t add that capability in the future. And, its developments like this that lead to lanes that can charge for access and then charge you for the speed you drive in the special lanes.

And perhaps 50 years from now, all cars will have wireless, we’ll be able to eliminate speed traps, and highway patrol officers can utilize more of their available time to truly helping with public safety. Wireless technology will be used to charge for the right to drive faster. Speeding tickets will morph into a speed tax, while having the ability to prevent unsafe conditions that cause a multitude of accidents.

Why Google Buzz Should Buy Aha Mobile

Aha mobileI have recently started using Google Buzz for Mobile on my Android phone and have become a big fan of its potential.  I  think it's quite unique and more useful if you are only interested in regional data. However, there currently isn't an on Google Buzz to hear updates from other drivers or alerts around me without picking up the phone and looking at it.  See the picture above which is a sample Google Buzz layer on Google Maps screenshot.  I think buying Aha Mobile and integrating the technology into their system would further advance the technology and make it safer for drivers.

Palo Alto-based Aha Mobile has created Aha Radio, a free mobile application that transfers a broad range of web-based information into a customizable radio experience. Aha has created a unique backend platform that safely filters, prioritizes, and delivers Web-based information to drivers. Everything from instant personalized traffic reports to an audio translation of your Facebook wall and from up-to-the-minute episodes of your favorite podcasts to personalized restaurant finders. They have also created the first driver-to-driver network similar to the old CB Radio. This allows users to listen to everything from real-time traffic reports to Twitter and Facebook updates as well as red light camera location alerts, without the added stress of fumbling with a device while driving.  Aha Mobile is also a licensee of PhotoEnforced.com's database of locations and will soon be using the data to give drivers verbal alerts of cameras locations near them.  I think this definitely solves the distracted driver problems.  Check out the demonstration video above.

Traffic Lawyer Reviews

We have noticed a growing trend of law firms and attorneys advertising their legal services on Google to help you fight traffic tickets in court.  Below is a list of traffic lawyers that advertise on Google Adwords.  We started this list to get your feedback on their performance and services in our comments section below.  As we receive feedback from users both positive and negative they will be posted on a separate page and link provided.  Please send us any attorneys that we may be missing and we will add them to this list. Thanks in advance for your help!

TicketBust.com
We'll Beat Your Ticket, Guaranteed! Money-Back If We Fail. Seen On NBC

TicketClinic.com
Ticket defense from $199! We Can Help Today 866-CITATION

Trafficticketbust.com
Your Ticket Dismissed, Guaranteed No fines, no points, no joke...

Theticketfixer.com
No Points. No School. No Court.Free Evaluation - Submit Online.

866Speeding.com
5% Case Dismissal Rate Come See Our Victory List! Call Today for a Free Consultation

LATrafficAttorneys.net
Beat Your Traffic Ticket! Attorney Robert Hakim in CA.

2fixyourtrafficticket.com
$189 FLAT FEE Guaranteed 877-814-7542 Fight Your Ticket Now Best Service Guaranteed Get Help

4mrticket.com
Traffic Tickets Dismissed 20 Years Of Fighting Tickets In CA. Call Us Now To Fight Your Ticket.

TrafficTicketPros.com
Got Speeding Ticket? High Dismissal Rate. Free Consultation, Call Now!

GetaReferral.com
Attorney Search Network Certified Attorney Referral Service

Why Our Competitors Claim Crowdsourcing Sucks

middle finger kid
I have to laugh every time I see one of our competitors claim: "Our red light camera database is the best because OUR locations are verified."  It's a big fat lie and a half-truth.  Here is a recent quote by a "no-name" company in their press release:   "Unlike other safety cameras that use inferior databases which often depend heavily on unqualified and frequently incorrect user input, or old, expired data, the database contains data points that are continually verified through research and a network of professionals. The new camera locations are not just added to, earlier data points but are verified for continued relevance and are removed if they are found to be no longer in force. Our database was named the most accurate safety cam database in a recent category test."

10 things you should substantiate before licensing data from a competitive red light camera database:

1) Verification of 3,000-7,000 locations with all 500+ cities, municipalities, and counties is a LIE.

2) No sources or history for their data being added, removed, and/or methodology for gathering data (thieves)

3) No info on the number of locations in the database (fear of being incomplete)

4) No volunteers on the ground in the hundreds of municipalities (no goodwill)

5) No press coverage and blogger or user credibility (because they copy)

6) Refusal to have a "bake-off" competition to substantiate their data (fear of being wrong)

7) We were the U.S. pioneers in 2001 which is 3 times longer than any competitor (late to the game)

8) PhotoEnforced.com has had well over one million people visit our site (brand recognition)

9) Google Street maps pictures are old and cannot verify new cameras (nice try)

10) Business models borrowed from Europe which has 40K (5x) locations (Google Ads changing the game)

We have by far the most complete database of 7000+ locations contrary to what the companies with deep pockets and PR will try to promote. What our competitors don't know is that we have a public database and a private database for our customers. Our public database is 95% accurate but there are some phantom locations purposely inserted to keep thieves from copying the entire database which has been done many times. Just to be clear we encourage individual users to download and use the data in their local markets and give us accurate feedback for free.

Over time we eventually ferret out false locations because of our enormous consumer reach of nearly 1,000 ticketed drivers per each day visit our website. We think more than half of people who think they receive tickets look online at our site for sources to verify the locations and come to our site first from a Google search engine query.  Also, we have had numerous former employees from each company tell us that they in fact they use Photoenforced.com as their primary source of data.

If any competitors would like to post a rebuttal to my accusations please do so below.

Cobra Electronics Licensing Data to Navteq?

We are also pleased to announce that we have executed an agreement with a major manufacturer of mobile phones and mobile navigation products to include the AURA (TM) database in their North American and European navigation products that will be released early next year." said Jim Bazet, Cobra's Chairman and Chief Executive Officer.

"This is a significant step in our plan to make AURA the preeminent provider of photo-enforcement alerts globally and is expected to contribute to revenues and earnings in the second half of 2010. Moreover, PPL generated an increase in sales due to the strength of its new product introductions - mobile navigation products tailored to the needs of the professional driver and the recreational vehicle owner. Cobra has recently launched in the U.S. a mobile navigation product for the professional driver that utilizes this successful PPL platform. We are aggressively pursuing new opportunities and expect a substantial improvement in fourth-quarter results."

Cobra Electronics (Ticker: COBR) Reports Third Quarter Results | Reuters: 

How much due diligence did the "licensee" (Navteq owned by Nokia Ticker: NOK) do on where Cobra acquired the AURA database information and how they plan to keep the information fresh?

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