A New Approach to Green Light Optimal Speed Advisory (GLOSA) Systems for High-Density Traffic Flowe

Abstract

Vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communications have the potential to not only accelerate progress towards autonomous vehicles but also to facilitate the achievement of more appropriate driver behavior patterns and thus make traffic more energy efficient and environmentally friendly. This paper presents a driving advisory system for vehicles approaching traffic lights that is based on the use of a Green Light Optimal Speed Advisory (GLOSA) system and evaluates its impact on traffic flow characteristics. This system, which assumes the existence of a connection with the traffic light ahead, calculates the distance required to pass through the intersection without stopping during the remaining green signal time. The required distance is then projected onto the road surface as a green planar rectangle shape through a head-up display (HUD). As long as the vehicle is traveling on the green rectangle, the drivers will not need to make a complete stop or accelerate again in order to meet the onset of a green signal. Assuming that all vehicles are equipped with our proposed system, traffic simulations were carried out to evaluate the performance of the scheme. Numerical analyses showed that a higher fuel efficiency and lower carbon dioxide (CO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> ) emissions were achievable, even under high-density traffic conditions, by combining the full and partial assistance levels of our proposed system.