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Research on Traffic Congestion Active Control Technology for Expressway

Published: 03 July 2024 Publication History

Abstract

This paper takes the active traffic control strategy under the expressway congestion scenario as the research object, investigates the research and application status of active traffic control system at home and abroad, and focuses on the analysis of the two most effective control strategies of active traffic control technology, and introduces the basic principle and control algorithm of the variable speed limit control strategy and the on-ramp control strategy in detail. On this basis, the collaborative control strategy combining variable speed limit control and on-ramp is proposed, and the applicability of the collaborative control strategy under different traffic conditions is analyzed. According to the demand of the main line of the expressway, the further deterioration of traffic congestion is prevented from the source, and the traffic flow on the main line is dynamically optimized and adjusted. Effectively improve highway capacity and safe driving level. Finally, it also introduces the basic elements of active traffic control system design, which lays a foundation for the later project implementation and landing. Based on this strategy, traffic managers can be provided with refined traffic control services, which not only meet the needs of travel users but also meet the operational management needs of owners, and effectively improve the traffic efficiency and safety level of expressways.

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    GAIIS '24: Proceedings of the 2024 International Conference on Generative Artificial Intelligence and Information Security
    May 2024
    439 pages
    ISBN:9798400709562
    DOI:10.1145/3665348
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    Published: 03 July 2024

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