ITS Traffic Management with Connected Vehicles: An Overview

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ITS Traffic Management with Connected Vehicles: An Overview

Wu, Kan / Zhu, Yongdong

Traffic congestion is commonly found in mega-cities globally. Traffic congestion is not only harmful to efficiency, but also to equity and sustainability of urban development. Intelligent transportation system (ITS) can reduce traffic congestion at least possible cost with a range of technologies. Recent development in connected vehicle (CV) technologies is expected to enable more efficient traffic sensing and management. For traffic sensing, this chapter explores the potential of CV-based mobile sensing in improvement of spatial coverage and temporal frequency. For traffic management, along with CV-based traffic state sensing, real-time traffic control or route guidance could be more adaptive to change in traffic, hence, the traffic system efficiency could be improved. However, the impact of CV penetration rate and robustness of CV-based ITS solutions remain to be studied. With the comprehensive reviews on studies of CV-based ITS traffic management, this chapter can help guide future traffic management policy design with incorporation of data-based solutions.

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Dokumentinformationen

Titel :

ITS Traffic Management with Connected Vehicles: An Overview

Beteiligte:

Zhu, Yongdong (Herausgeber:in) / Cao, Yue (Herausgeber:in) / Hua, Wei (Herausgeber:in) / Xu, Lexi (Herausgeber:in) / Wu, Kan (Autor:in) / Zhu, Yongdong (Autor:in)

Erschienen in:

Communication, Computation and Perception Technologies for Internet of Vehicles ; Kapitel : 2 ; 17-32

Erscheinungsdatum :

2023-11-01

Format / Umfang :

16 pages

ISBN :

978-981-99-5439-1 , 978-981-99-5438-4

DOI :

https://doi.org/10.1007/978-981-99-5439-1_2

Medientyp :

Aufsatz/Kapitel (Buch)