Active Anti-collision Warning Model Considering the Driver's Intention of the Vehicle Ahead under Internet of Vehicles

doi:10.3901/JME.2021.22.284

Abstract

Abstract: The contact thermal resistance at contact interface plays an important role in the heat transfer process inside the brake disc, which affects the accuracy of simulating the thermal-mechanical coupling behavior of brake disc. A finite element model is established by integrating the model for contact thermal resistance considering the contact pressure and interface roughness. The temperature distribution and deformation of brake disc, bolt load, and loop stress around bolt hole are investigated and compared with the results from bench test during emergency braking process. The simulation results show good agreement with the bench test within a wide range of speed. The temperature gradient in the braking system results in large thermal stress and out-of-plane displacement of brake disc, which is the main reason for the increase of bolt load. The change of loop stress near the 0° and 180° of bolt hole along the radial direction of the brake disc surface is larger during the braking process, which makes thermal fatigue crack easily appear at those two locations.

Key words: automobile engineering, front vehicle, driver's intention, Internet of Vehicles, active anti-collision

CLC Number:

U471

YANG Wei, LIU Jiajun, LIU Jingyu. Active Anti-collision Warning Model Considering the Driver's Intention of the Vehicle Ahead under Internet of Vehicles[J]. Journal of Mechanical Engineering, 2021, 57(22): 284-295.

References

[1] ARBABZADEH N, JAFARI M, JALAYER M, et al. A hybrid approach for identifying factors affecting driver reaction time using naturalistic driving data[J]. Transportation Research Part C:Emerging Technologies, 2019, 100:107-124.
[2] 尹小琴,朱喜行,张盼盼. 高速公路车辆防追尾碰撞系统的设计与控制研究[J]. 汽车工程, 2014, 36(9):1080-1084, 1116. YIN Xiaoqin, ZHU Xihang, ZHANG Panpan. A study on the design and control of vehicle rear-end collision avoidance system in freeway[J]. Automotive Engineering, 2014, 36(9):1080-1084, 1116.
[3] 刘庆华,邱修林,谢礼猛,等. 基于行驶车速的车辆防撞时间预警算法[J]. 农业工程学报, 2017, 33(12):99-106. LIU Qinghua, QIU Xiulin, XIE Limeng, et al. Anti-collision warning rime algorithm based on driving speed of vehicle[J]. Transactions of the Chinese Society of Agricultural Engineering, 2017, 33(12):99-106.
[4] XIONG X, WANG M, CAI Y, et al. A forward collision avoidance algorithm based on driver braking behavior[J]. Accident Analysis & Prevention, 2019, 129:30-43.
[5] 裴晓飞,刘昭度,马国成,等. 汽车主动避撞系统的安全距离模型和目标检测算法[J]. 汽车安全与节能学报, 2012, 3(1):26-33. PEI Xiaofei, LIU Zhaodu, MA Guocheng, et al. Safe distance model and obstacle detection algorithms for a collision warning and collision avoidance system[J]. Journal of Automotive Safety and Energy, 2012, 3(1):26-33.
[6] KATARE D, EL-SHARKAWY M. Embedded system enabled vehicle collision detection:An ANN classifier[C]//IEEE 9th Annual Computing and Communication Workshop and Conference (CCWC). Las Vegas:IEEE, 2019:284-289.
[7] 袁朝春,李道宇,吴飞,等. 汽车纵向主动避撞DRV安全距离模型建模研究[J]. 重庆理工大学学报, 2016, 30(5):15-19. YUAN Chaochun, LI Daoyu, WU Fei, et al. Analysis on safety distance model and modeling DRV safety distance model[J]. Journal of Chongqing Institute of Technology, 2016, 30(5):15-19.
[8] WADA T, DOI S, TSURU N, et al. Characterization of expert drivers last-second braking and its application to a collision avoidance system[J]. IEEE Transactions on Intelligent Transportation Systems, 2010, 11(2):413-422.
[9] LEE S H, LEE S, KIM M H. Development of a driving behavior-based collision warning system using a neural network[J]. International Journal of Automotive Technology, 2018, 19(5):837-844.
[10] WANG J, YU C, LI S, et al. A forward collision warning algorithm with adaptation to driver behaviors[J]. IEEE Transactions on Intelligent Transportation Systems, 2015, 17(4):1-11.
[11] 王启明,苏建,隋振,等. 一种新型冗余驱动并联机构位姿正解研究[J]. 机械工程学报, 2019, 55(9):40-47. WANG Qiming, SU Jian, SUI Zhen, et al. Research on forward kinematics of a new type of redundant actuation parallel mechanism[J]. Journal of Mechanical Engineering, 2019, 55(9):40-47.
[12] 宗长富,王畅,何磊,等. 基于双层隐式马尔科夫模型的驾驶意图辨识[J]. 汽车工程, 2011, 33(8):701-706. ZONG Changfu, WANG Chang, HE Lei, et al. Driving intention recognition based on double-layer HMM[J]. Automotive Engineering, 2011, 33(8):701-706.
[13] TONGUZ O K, ZHANG R. Harnessing vehicular broadcast communications:DSRC-actuated traffic control[J]. IEEE Transactions on Intelligent Transportation Systems, 2020, 21(2):509-520.
[14] ZHAO X, JING S, HUI F, et al. DSRC-based rear-end collision warning system-An error-component safety distance model and field test[J]. Transportation Research Part C:Emerging Technologies, 2019, 107:92-104.
[15] YANG W, WAN B, QU X. A forward collision warning system using driving intention recognition of the front vehicle and V2V communication[J]. IEEE Access, 2020(8):11268-11278.
[16] 胡远志,吕章洁,刘西. 基于PreScan的AEB系统纵向避撞算法及仿真验证[J]. 汽车安全与节能学报, 2017, 8(2):136-142. HU Yuanzhi, LÜ Zhangjie, LIU Xi. Algorithm and simulation verification of longitudinal collision avoidance for autonomous emergency break(AEB) system based on PreScan[J]. Journal of Automotive Safety and Energy, 2017, 8(2):136-142.
[17] DOI A, BUTSUEN T, NIIBE T, et al. Development of a rear-end collision avoidance system with automatic brake control[J]. JSAE Review, 1994, 15(4):335-340.
[18] KUSANO K D, GABLER H C. Method for Estimating time to collision at braking in real-world, lead vehicle stopped rear-end crashes for use in pre-crash system design[J]. SAE International Journal of Passenger Cars-Mechanical Systems, 2011, 4(1):435-443.
[19] YANG W, LIU J J, ZHOU K X, et al. An automatic emergency braking model considering driver's intention recognition of the front vehicle[J]. Journal of Advanced Transportation, 2020:1-15.