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dc.contributorDepartment of Electrical and Electronic Engineeringen_US
dc.contributor.advisorLiu, Wei (EEE)en_US
dc.creatorMeng, Ting-
dc.identifier.urihttps://theses.lib.polyu.edu.hk/handle/200/14459-
dc.languageEnglishen_US
dc.publisherHong Kong Polytechnic Universityen_US
dc.rightsAll rights reserveden_US
dc.titleA research on SMC based longitudinal and MPC-pure pursuit based lateral coordinated control for connected vehicle platoonen_US
dcterms.abstractAutonomous driving technology has evolved from decades of academic research to real world applications, highly enhancing the driving safety and comfort. In intelligent transportation systems (ITS), the vehicle platoon controlling is a key technology for enhancing traffic efficiency and road safety. This research mainly focuses the integrated control of connected car platoon, addressing key issues such as path planning, longitudinal and lateral control under a distributed collaborating structure.en_US
dcterms.abstractThe major research content of this article is as follows: First of all, a distributed collaborative control architecture for the vehicle platoon was set up. This includes forming a predecessor-following (PF) and predecessor-leader-following (PLF) combined communication topology to enhance the control robustness and prevent malfunction propagation. The vehicle spacing strategy adopts an enhanced constant time headway (ECTH) method, considering communication delay, braking delay and vehicle length to enhance safety features.en_US
dcterms.abstractSecondly, for longitudinal control, a sliding mode control based controller was designed. The string stability is proofed by using Lyapunov theory, a sensor based secondary verification mechanism is built to enable following vehicles to switch their tracking targets when the preceding vehicle facing with malfunction issues, thereby keeping the platoon stable.en_US
dcterms.abstractMoreover, the lateral control structure adopts a multi-layer control strategy. For the leading vehicle, a local path planner based on Quintic Polynomial curves combined with the Model Predictive Control algorithm for precise trajectory tracking was used. For the following vehicles, the Pure Pursuit algorithm for effective trajectory tracking was introduced instead, balancing accuracy and computational cost. With PLF topology, an event-triggered secondary verification mechanism has been established for lateral control coordination, which helps to prevent malfunction propagation.en_US
dcterms.abstractFinally, the proposed integrated control structure was modeled and verified by join simulations with the Prescan and Simulink. Experiment in various scenarios such as normal driving, emergency braking, lane changing and platoon member malfunctions have verified the effectiveness of the controller in maintaining platoon stable control, showing high tracking accuracy (over 99.8%), and ensuring overall safety.en_US
dcterms.extentiii, 60 pages : color illustrationsen_US
dcterms.isPartOfPolyU Electronic Thesesen_US
dcterms.issued2026en_US
dcterms.educationalLevelM.Sc.en_US
dcterms.educationalLevelAll Masteren_US
dcterms.accessRightsrestricted accessen_US

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Please use this identifier to cite or link to this item: https://theses.lib.polyu.edu.hk/handle/200/14459