V2X-driven smart parking leads the way in infrastructure management

Smart traffic-management solutions powered by V2X communications and artificial intelligence have the potential to significantly reduce congestion and emissions.

However, successful implementation will require coordination between cities, automakers and others in the automotive supply chain. A recently published Juniper Research report found that by 2025, smart traffic management systems will save cities $277Bn. Adam Wears, research analyst and author of the report, predicted “massive growth” in the implementation of smart traffic management systems.

“As automakers begin to roll out two-way communication between vehicles and roadside infrastructure as well as other vehicles, V2X can be used for everything from real-time signal actuation to warning about upcoming congestion and hazards to enabling the prioritization of emergency service vehicles at traffic signals,” Wears noted.

He said V2X connectivity will enable smart traffic-management platforms to gather data directly from vehicles, rather than relying on traditional traffic-actuation methods.

“While automakers can easily develop and install V2X systems in their vehicles, these won’t be anywhere near as efficient as they can be without equal take-up of compatible systems by cities at intersections, freeways, and parking facilities,” Wears explained.

Sam Abuelsamid, principal research analyst leading Guidehouse Insights, noted an ideal V2X system would provide guidance to the vehicle the way as Audi has done in North America with traffic-signal systems. Audi provides drivers with information on the timing of the lights, such as when a light is going to change, along with guidance like the optimal speed to maintain in order to hit a string of green lights. “That sort of thing can be very helpful,” he said. “As you tie in transportation modes like busses or emergency vehicles, and micro mobility, you can make your entire traffic flow much smoother.”

To read the complete article, visit TU-Automotive.