Modelling and simulation of adaptive cruise control and overtake assist system

被引:5
|
作者
Anand S. [1 ]
Ohol S.S. [1 ]
机构
[1] Department of Mechanical Engineering, COEP, Pune
来源
关键词
Adaptive Cruise Control; ADAS; MATLAB-SIMULNIK; Model Predictive Controller (MPC); Overtake Assist; SCILAB;
D O I
10.1016/j.matpr.2022.09.330
中图分类号
学科分类号
摘要
The following paper presents an approach to model the Adaptive cruise control and Overtake Assist ADAS features for a vehicle. The physical structure for Adaptive Cruise Control (ACC) is modelled with the ego car equipped with a longitudinal Model Predictive Controller (MPC) & the lead car which we wish to follow at a safe distance. The long-range RADAR sensor would measure the real time relative velocity and relative distance as inputs to the MPC controller, a safe distance is calculated by the MPC with the help of a suitable time gap and compared with relative distance given as input to switch between the speed control and spacing control. Accordingly, a longitudinal output in the form of brake or acceleration is generated. MATLAB-SIMULINK have been used to model and simulate scenarios. The Flying type overtake is modelled to suit the Indian National Highway driving scenario with a single lane divided road. A decision tree is proposed for a four-car driving scenario with the vehicle of interest sandwiched between cars and a vehicle in the oncoming lane all driving at a constant speed. SCILAB-XCOS have been used to model the decision tree for the same. © 2022
引用
收藏
页码:1353 / 1360
页数:7
相关论文
共 50 条
  • [21] Modelling merging behaviour joining a cooperative adaptive cruise control platoon
    Hu, Jia
    Wang, Haoran
    Li, Xin
    Li, Xinghua
    IET INTELLIGENT TRANSPORT SYSTEMS, 2020, 14 (07) : 693 - 701
  • [22] Fuzzy PID Control and Simulation Analysis of Cruise Control System
    Zhou, Meilan
    Sun, Jing
    Gao, Hanying
    Wang, Xudong
    INFORMATION AND AUTOMATION, 2011, 86 : 289 - 295
  • [23] Effects of Adaptive Cruise Control and Cooperative Adaptive Cruise Control on Traffic Flow
    Wang Q.
    Xie N.
    Hou D.-Z.
    Huang Z.-C.
    Li Z.-H.
    Zhongguo Gonglu Xuebao/China Journal of Highway and Transport, 2019, 32 (06): : 188 - 197and205
  • [24] LiDAR Sensing-Based Exponential Adaptive Cruise Control and Steering Assist for ADAS
    Thakur, Abhishek
    Ram, C. A. Rakshith
    Pachamuthu, Rajalakshmi
    IEEE SENSORS JOURNAL, 2025, 25 (02) : 3597 - 3607
  • [25] Adaptive Neuro-Fuzzy Predictive Control for Design of Adaptive Cruise Control System
    Lin, Yu-Chen
    Ha-Ly Thi Nguyen
    Wang, Cheng-Hsien
    PROCEEDINGS OF THE 2017 IEEE 14TH INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL (ICNSC 2017), 2017, : 767 - 772
  • [26] Adaptive Cruise Control System Using Balance-Based Adaptive Control Technique
    Shakouri, Payman
    Czeczot, Jacek
    Ordys, Andrzej
    2012 17TH INTERNATIONAL CONFERENCE ON METHODS AND MODELS IN AUTOMATION AND ROBOTICS (MMAR), 2012, : 510 - 515
  • [27] Adaptive Optimal Control for the Uncertain Driving Habit Problem in Adaptive Cruise Control System
    Zhao Dongbin
    Xia Zhongpu
    2013 IEEE INTERNATIONAL CONFERENCE ON VEHICULAR ELECTRONICS AND SAFETY (ICVES), 2013, : 159 - 164
  • [28] Generating fuzzy rules for the acceleration control of an adaptive cruise control system
    Holve, R
    Protzel, P
    Naab, K
    1996 BIENNIAL CONFERENCE OF THE NORTH AMERICAN FUZZY INFORMATION PROCESSING SOCIETY - NAFIPS, 1996, : 451 - 455
  • [29] An adaptive cruise control system based on throttle/brakes combined control
    Pei, Xiaofei
    Liu, Zhaodu
    Ma, Guocheng
    Qi, Zhiquan
    Qiche Gongcheng/Automotive Engineering, 2013, 35 (04): : 375 - 380
  • [30] Safety, Energy, and Emissions Impacts of Adaptive Cruise Control and Cooperative Adaptive Cruise Control
    Mahdinia, Iman
    Arvin, Ramin
    Khattak, Asad J.
    Ghiasi, Amir
    TRANSPORTATION RESEARCH RECORD, 2020, 2674 (06) : 253 - 267