Journal of Advanced Transportation · 2018 · 39 citations · 3 references
EngineeringAutomotive EngineeringSystems EngineeringReal-time SystemsTransportationTransportation EngineeringIntelligent Transportation SystemsRoad SafetyTraffic EngineeringTraffic SafetyVehicle Communication NetworksVehicle-to-everything CommunicationOptimal Speed ControlRoad Safety EngineeringSpeedTraffic ManagementVehicle Speed Management At IntersectionsVehicle-to-infrastructure CommunicationVehicle-to-vehicle CommunicationVehicular Network Protocols
Cooperative Intelligent Transportation Systems enable real‑time traffic data exchange to enhance road safety, and traffic light assistance systems use traffic‑management‑center timing data to inform drivers. The study tests the reliability of a traffic‑light‑assistance system that relies on networked vehicle‑infrastructure interaction. The system retrieves traffic‑light timing within range, computes optimal speed from vehicle acceleration, speed, phase state, and remaining duration, and displays a recommended velocity, allowing theoretical evaluation in a controlled lab scenario. Drivers following the recommended speed improved traffic flow, lowered gas emissions, and reduced waiting time at intersections.
Cooperative Intelligent Transportation Systems (C-ITS) make the exchange of information possible through cooperative systems that broadcast traffic data to enhance road safety. Traffic light assistance (TLA) systems in particular utilize real-time traffic light timing data by accessing the information directly from the traffic management center. To test the reliability of a TLA system based on networked intervehicular interaction with infrastructure, we present in this paper an approach to perform theoretical studies in a lab-controlled scenario. The proposed system retrieves the traffic light timing program within a range in order to calculate the optimal speed while approaching an intersection and shows a recommended velocity based on the vehicle’s current acceleration and speed, phase state of the traffic light, and remaining phase duration. Results show an increase in driving efficiency in the form of improvement of traffic flow, reduced gas emissions, and waiting time at traffic lights after the drivers adjusted their velocity to the speed calculated by the system.
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