Vehicle following control under a rational initial state

被引:7
|
作者
Pan, Deng [1 ]
Zheng, Yingping [1 ]
机构
[1] Tongji Univ, Sch Elect & Informat Engn, Shanghai 201804, Peoples R China
关键词
Vehicle following control; Safe following distance; Rational initial state; State transition; CAR-FOLLOWING MODEL; ADAPTIVE CRUISE CONTROL; VELOCITY DIFFERENCE MODEL; STABILITY ANALYSIS; FULL VELOCITY; TIME; COMMUNICATION; DISTANCE; SYSTEMS; CAPACITY;
D O I
10.1007/s11071-015-2348-y
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
To study the control problem of vehicle following system with a rational initial state is of greater practical significance than that with an irrational initial state. The Petri net is used to describe the state transition diagram of vehicle following control system with a rational initial state after vehicle following control model is constructed. An integrated control method, including the velocity-difference control based on dynamic safety following distance, the inter-vehicle distance control for efficiency improvement based on hyperbolic function and the emergency stopping control for collision avoidance, under their respective conditions, is presented for the establishment of a safe and efficient steady-following state. The numerical results show that the presented control method can be used by the following vehicle to adapt its own behavior in safety and efficiency to the preceding vehicle's behavioral change, and lead vehicle following system with a rational initial state to enter the previous safe and efficient steady-following state or a new safe and efficient steady-following state.
引用
收藏
页码:579 / 590
页数:12
相关论文
共 50 条
  • [1] Vehicle following control under a rational initial state
    Deng Pan
    Yingping Zheng
    Nonlinear Dynamics, 2016, 83 : 579 - 590
  • [2] Investigation on multi-objective following control algorithm for vehicle adaptive cruise control under cruise state
    Yuan, Hong
    Liu, Rui
    Zhong, Lingfeng
    Zhang, Yourong
    Lin, Li
    Huang, Kaisheng
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING, 2024,
  • [3] Development of rational tyre models for vehicle dynamics control design and combined vehicle state/parameter estimation
    Baslamisli, S. Caglar
    INTERNATIONAL JOURNAL OF VEHICLE DESIGN, 2014, 65 (2-3) : 144 - 175
  • [4] Autonomous Vehicle Following Control Based on An Extended State Observer
    Sun, Xinhe
    Jia, Xinchun
    Li, Lei
    Zhang, Dawei
    2015 34TH CHINESE CONTROL CONFERENCE (CCC), 2015, : 8079 - 8084
  • [5] Synchronous Control of Vehicle Following Behavior and Distance Under the Safe and Efficient Steady-Following State: Two Case Studies of High-Speed Train Following Control
    Pan, Deng
    Zheng, Yingping
    Qiu, Junjie
    Zhao, Liting
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2018, 19 (05) : 1445 - 1456
  • [6] Motion Control of a Terrain Following Unmanned Aerial Vehicle Under Uncertainty
    Alqahtani, Nasser Ayidh
    Emran, Bara Jamal
    Najjaran, Homayoun
    PROCEEDINGS OF SAI INTELLIGENT SYSTEMS CONFERENCE (INTELLISYS) 2016, VOL 2, 2018, 16 : 537 - 547
  • [7] State-feedback Switching Linear Parameter Varying Control for Vehicle Path Following Under Uncertainty and External Disturbances
    Shen, Dan
    Chen, Yaobin
    Li, Lingxi
    2022 IEEE 25TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC), 2022, : 3125 - 3132
  • [8] Vehicle following and formation control of nonholonomic vehicles using time-state control form
    Tsuzuki, Daisuke
    Takaba, Kiyotsugu
    2016 55TH ANNUAL CONFERENCE OF THE SOCIETY OF INSTRUMENT AND CONTROL ENGINEERS OF JAPAN (SICE), 2016, : 1666 - 1672
  • [9] PARAMETERIC SYNTHESIS OF FLIGHT VEHICLE CONTROL UNDER INDETERMINATE INITIAL CONDITIONS AND DISTRUBANCES.
    Sirazetdinov, R.T.
    1600, (29):
  • [10] Event-Triggered Vehicle-Following Control for Connected and Automated Vehicles under Nonideal Vehicle-to-Vehicle Communications
    Liu, Jizheng
    Wang, Zhenpo
    Zhang, Lei
    2021 32ND IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV), 2021, : 342 - 347