An efficient path planning GLOSA‐based approach over large scale and realistic traffic scenario

Abstract

Vehicle speed and trajectories play an important role in influencing fuel consumption, gas emissions and travel time. ITS services are often proposed in order to reduce the impact of these issues on the environment and the comfort of drivers. Cooperative Intelligent Transport Systems (C‐ITS) introduced many services that target traffic efficiency management and road safety. Green Light Optimal Speed Advisory (GLOSA) is one of the traffic efficiency services that can significantly cut fuel consumption and decrease waiting time while crossing intersections. When approaching a signalized intersection, GLOSA informs 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 an Efficient Path Planning GLOSA‐based (EPP‐GLOSA) approach using Dijkstra greedy algorithm and GLOSA service. EPP‐GLOSA aims at proposing the fastest path for the driver to follow in order to reach its destination. The estimated duration to reach the destination takes into consideration the state of traffic lights along the path on top of Dijkstra algorithm. The proposed approach is evaluated under a large scale scenario in free flow and rush‐hour conditions. Our findings show that EPP‐GLOSA offers a balanced scale between travel time reduction and fuel saving especially in free flow conditions.

T-Spherical Fuzzy-CRITIC-WASPAS Model for the Evaluation of Cooperative Intelligent Transportation System Scenarios

“…According to Sharara [9], this method attempts to improve overall traffic safety, reduce congestion, and improve driving comfort. The use of GLOSA-based route planning algorithms inside C-ITS, as evidenced by studies such as those done by Karoui et al [10], demonstrates a balanced strategy that results in reduced travel time and fuel savings for drivers.…”

Ad‐hoc, mobile, and wireless networks

“…A noteworthy example is algorithms aimed at route traffic or at finding network topologies which balance the energy consumption of nodes with the target to increase the network lifetime 3 . Research about path planning is aimed at obtaining a better routing, which usually has a relevant and positive impact on power consumption 4‐6 . All these aspects are more complex if mobility of nodes is considered.…”

“…The fourth paper “An efficient path planning GLOSA‐based approach over large scale and realistic traffic scenario” 6 analyzes path planning of moving vehicles, with the main target to decrease waiting and travel times, but without significantly impacting fuel consumption. One of the main innovations of this work consists in including the impact of traffic lights in the selection process of the fastest route (performed through the Dijkstra algorithm).…”

Eco-Drive Technology, Human Factors, and Environmental and Economic Benefits

“…For example, see the studies by Xia et al ( 12 ) and Chen et al ( 13 ). Karoui et al ( 14 ) investigated a path planning GLOSA-based simulation approach in a large-scale and realistic scenario. Their simulation study carried out under free-flow and peak-hour conditions showed that GLOSA offers a balanced scale between travel time reduction and fuel savings.…”