Abstract
Benefiting from the application of vehicle communication networks and new technologies, such as connected vehicles, video monitoring, automated vehicles and vehicle–road collaboration, traffic network data can be observed in real-time. Applied in the field of traffic control, these technologies can provide high-quality input data and make a more comprehensive evaluation of the effectiveness of traffic control. However, most of the control theories and strategies adopted by adaptive control systems cannot effectively use these real-time, high-precision data. In order to adapt to the development of the times, intersection control theory needs to be further developed. This paper reviews the intersection control strategies from many perspectives, including intelligent data-driven control, conventional timing control, induction control and model-based traffic control. There are three main directions for intersection control based on the connected vehicle environment: (1) data-driven reinforcement learning control; (2) adaptive performance optimization control; (3) research on traffic control based on the environment of connected vehicles (CV); and (4) multiple intersection control based on the CV environment. The review gives a clear view of the data-driven intelligent control theory and its application for intelligent transportation systems.
Highlights
With socio-economic development and the acceleration of urbanization, the existing urban roads cannot withstand the increasing traffic flow, which puts tremendous pressure on the urban traffic management department
This paper studies the application of adaptive control methods for systematically tracking urban road traffic signals from three perspectives, including model-based control (MBC) methods, intelligent computing control methods and data-driven control methods
Regular vehicles (RV), connected vehicles (CV) and automated vehicles (AV) are the main trends in current urban traffic composition
Summary
It detects traffic flow information through a detector, and transmits these data to the host computer in real-time through the network. As the traffic congestion problem becomes more serious, the role of the adaptive traffic control system (ATCS) has become increasingly prominent [4] It is the basic requirement of ATCS to be able to send signals the signal lights of intersections in real-time [7]. Wireless communication technology is developing rapidly, providing important basic technical support for building the Internet of Vehicles and providing important solutions for solving traffic problems. The traffic control methods reviewed in this paper are suitable for urban intersections, where the signal lights and vehicles have the capacity for network communication.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
