Long Beach tests traffic lights that respond to traffic jams in real time – GCN

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Long Beach tests traffic lights that respond to traffic jams in real time

A smart infrastructure pilot will test whether traffic lights in Long Beach, California can respond to changing driving habits in real time.

The city will work with Mercedes-Benz and Xtelligent, deploying a fleet of up to 50 smart vehicles and artificial intelligence software that will communicate real-time traffic data to an intelligent intersection control system. The vehicles will primarily share location data, a feature common to most cars equipped with on-board navigation systems. However, in this case, the vehicles will share data with each other and with the city infrastructure.

City planners and engineers will be able to use the shared data to measure traffic jams and even calculate emissions based on vehicle type and distances traveled, city officials said. Analyzing data from connected test vehicle fleets and existing physical sensors in the city can also inform future transportation policy and traffic engineering decisions.

Long Beach Smart Cities program director Ryan Kurtzman told the Long Beach Business Journal that he believes the project, which is expected to run for 10 months, could give the city a head start and generate a number of potential benefits.

The system should not only improve traffic by anticipating traffic jams based on accidents or school pickup and drop-off times and rerouting traffic using custom red and green periods at specific intersections, the Xtelligent co-founder said. , Michael Lim. to place.

The software will also help improve livability and environmental sustainability in Long Beach. In areas with poor air quality, adaptive signage could reduce the time cars spend at red lights. In addition, the increased efficiency would benefit electric vehicles. “When you have a more predictive and fluid type of movement, they’re able to sustain energy more efficiently,” Lim said.

All program data will be anonymized, so the movements of individual cars cannot be tracked. The exact location of the pilot project has not yet been determined, although parts of the city center and an area close to the local Mercedes-Benz facility are expected to be among the potential areas. If all goes well, the project will be launched by the end of the year. At the end of the pilot project, the team will assess the results and explore possibilities to scale up the effort.

“Systems like this have the potential to improve the efficiency of our transportation network,” Kurtzman said. “This project helps us to explain how we could deploy this kind of technology on a larger scale throughout the city. “

About the Author

Shourjya Mookerjee is an associate editor for GCN and FCW. He is a graduate of the University of Maryland, College Park, and has written for Vox Media, Fandom and a number of Capital Region media. He can be contacted at [email protected] – or you can find him ranting about sports, cinematography and the importance of local journalism on Twitter @byShourjya.


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