Wireless communications are being used for enhancing transport systems .In order to achieve these goals, some communication technologies are specially designed to support Vehicleto-everything (V2X) functionalities. C-V2X (Cellular Vehicle-toeverything) or LTE-V2X and ITS-G5 are one of the existing solutions respectively standardized by 3GPP (3rd Generation Partnership Project) and ETSI (European Telecommunications Standards Institute). While ITS-G5 is a dedicated wireless network for C-ITS applications, LTE-V2X shares the network resources with other LTE applications used on mobile devices. In this paper, we give an insight on both technologies by briefly describing their communication mechanisms. Then, we compare their performances under different use cases using a networking and vehicular simulation platform. Results show that ITS-G5 outperforms LTE-V2X (mode 3) in case of the presence of concurrent LTE data traffic with V2X service. Throughout the conducted scenarios, we demonstrate the negative impact of handover on LTE-V2X eNB scheduled mode.
Cooperative Intelligent Transportation Systems (C-ITS) enhance road safety and traffic management. GLOSA (Green Light Optimized Speed Advisory) is an ITS service that helps reduce traffic jam. In this paper, we present a strategy algorithm for GLOSA called Speed Advisory Boundary fINder (SABIN) that allows vehicles to pass a traffic light when it is green as fast as possible or as slow as possible. We evaluated SABIN in terms of average stoppage time, travel time, average number of stopped vehicles and fuel consumption. We also evaluate the impact of network performance on SABIN.
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.
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