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An Improved Variable Time Headway Strategy For ACC

Published: 20 September 2019 Publication History
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  • Abstract

    The spacing strategy is the basis of the adaptive cruise control strategy, it plays an important role in the design of the ACC system. It requires us to allocate the car spacing according to the environment in which the vehicle is traveling, and improve the utilization of the road under the premise of ensuring driving safety. The fixed-pitch spacing strategy is not suitable for complex driving environments, while the variable spacing strategy has certain disadvantages in terms of stability and security. This paper combines the advantages of nonlinear spacing strategy, improves the VTH strategy based on the previous studies, and verifies the convergence of the improved model through mathematical analysis. Finally, the simulation models were built in matlab environment, and the five classics folowing-control states of ACC were simulated. The simulated results have verified the effectiveness of the improved model.

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    Cited By

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    • (2024)The Effect of Changing-Lane Prediction Algorithms on the Performance of ACC System Model in Matlab/Simulink2024 International Russian Smart Industry Conference (SmartIndustryCon)10.1109/SmartIndustryCon61328.2024.10516059(662-667)Online publication date: 25-Mar-2024
    • (2024)Variable time headway spacing strategy for connected vehicles platoon based on sliding mode controlPhysica A: Statistical Mechanics and its Applications10.1016/j.physa.2024.129588637(129588)Online publication date: Mar-2024
    • (2023)Impacts of communication delay on vehicle platoon string stability and its compensation strategy: A reviewJournal of Traffic and Transportation Engineering (English Edition)10.1016/j.jtte.2023.04.004Online publication date: Jul-2023
    • Show More Cited By

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    Published In

    cover image ACM Other conferences
    RICAI '19: Proceedings of the 2019 International Conference on Robotics, Intelligent Control and Artificial Intelligence
    September 2019
    803 pages
    ISBN:9781450372985
    DOI:10.1145/3366194
    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 ACM 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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    New York, NY, United States

    Publication History

    Published: 20 September 2019

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    Author Tags

    1. Adaptive Control System
    2. Car-following Model
    3. Intelligent Vehicle
    4. Matlab
    5. Spacing Strategy

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    RICAI 2019

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    RICAI '19 Paper Acceptance Rate 140 of 294 submissions, 48%;
    Overall Acceptance Rate 140 of 294 submissions, 48%

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    View all
    • (2024)The Effect of Changing-Lane Prediction Algorithms on the Performance of ACC System Model in Matlab/Simulink2024 International Russian Smart Industry Conference (SmartIndustryCon)10.1109/SmartIndustryCon61328.2024.10516059(662-667)Online publication date: 25-Mar-2024
    • (2024)Variable time headway spacing strategy for connected vehicles platoon based on sliding mode controlPhysica A: Statistical Mechanics and its Applications10.1016/j.physa.2024.129588637(129588)Online publication date: Mar-2024
    • (2023)Impacts of communication delay on vehicle platoon string stability and its compensation strategy: A reviewJournal of Traffic and Transportation Engineering (English Edition)10.1016/j.jtte.2023.04.004Online publication date: Jul-2023
    • (2020)An Adaptive Cruise Control Method Based on Improved Variable Time Headway Strategy and Particle Swarm Optimization AlgorithmIEEE Access10.1109/ACCESS.2020.30231798(168333-168343)Online publication date: 2020

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