Comparative Evaluation Study of GLOSA Approaches Under Realistic Scenario Conditions

Abstract

Cooperative Intelligent Transport Systems (C-ITS) are a promising solution to enhance road management, traffic efficiency, fuel consumption and road safety. Green Light Optimal Speed Advisory (GLOSA) is one of the traffic efficiency ITS services that can significantly cut fuel consumption and decrease waiting time while crossing intersections. When approaching a signalized intersection, GLOSA allows to inform the driver of an advisory speed to respect in order to reach the intersection while the traffic light is green. In this paper, we propose a multiple segments approach algorithm for GLOSA that allows the driver to anticipate multiple intersections ahead and adopt a speed that allows him to cross the consecutive traffic lights while their state is green. We simulated our approach using Artery framework under realistic communication and traffic conditions based on a wireless communication simulator and a real life map. Results show that taking into account multiple intersections while adopting the speed allows the driver to better optimize the crossing of intersections. Results also show the impact of activation distance and sending frequency on each approach. We show that an activation distance of 400 m allows a significant stop time gain of about 100% for both approaches.