Green Wave as an Integral Part for the Optimization of Traffic Efficiency and Safety: A Survey

TL;DR

This survey reviews Green Wave traffic control strategies, emphasizing their role in enhancing traffic efficiency and safety, and explores future integration with emerging technologies like AI and V2X for sustainable urban transport.

Contribution

It provides a comprehensive analysis of existing Green Wave strategies, their impact on traffic management, and identifies research gaps for future development.

Findings

Green Wave strategies improve traffic flow and safety.

Integration with AI and V2X enhances robustness.

Green Wave contributes to emission reduction.

Abstract

Green Wave provides practical and advanced solutions to improve traffic efficiency and safety through network coordination. Nevertheless, the complete potential of Green Wave systems has yet to be explored. Utilizing emerging technologies and advanced algorithms, such as AI or V2X, would aid in achieving more robust traffic management strategies, especially when integrated with Green Wave. This work comprehensively surveys existing traffic control strategies that enable Green Waves and analyzes their impact on future traffic management systems and urban infrastructure. Understanding previous research on traffic management and its effect on traffic efficiency and safety helps explore the integration of Green Wave solutions with smart city initiatives for effective traffic signal coordination. This paper also discusses the advantages of using Green Wave strategies for emission reduction and considers road safety issues for vulnerable road users, such as pedestrians and cyclists. Finally, the existing challenges and research gaps in building robust and successful Green Wave systems are discussed to articulate explicitly the future requirement of sustainable urban transport.