|Table of Contents|

Review of car-following models of adaptive cruise control(PDF)

《交通运输工程学报》[ISSN:1671-1637/CN:61-1369/U]

Issue:
2017年03期
Page:
121-130
Research Field:
交通运输规划与管理
Publishing date:
2017-08-05

Info

Title:
Review of car-following models of adaptive cruise control
Author(s):
QIN Yan-yan12 WANG Hao12 WANG Wei12 NI Dai-heng3
1. Jiangsu Provincial Key Laboratory of Urban ITS, Southeast University, Nanjing 210096, Jiangsu, China; 2. Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Southeast University, Nanjing 210096, Jiangsu, China; 3. Department of Civil and Environmental Engineering, University of Massachusetts Amherst, Amherst 01003, Massachusetts, USA
Keywords:
traffic engineering car-following model adaptive cruise control cooperative adaptive cruise control capacity traffic safety traffic flow stability
PACS:
U491.25
DOI:
-
Abstract:
The car-following models of adaptive cruise control(ACC)and cooperative adaptive cruise control(CACC)of autonomous vehicles were analyzed. From the aspects of system control principle, vehicle-to-vehicle communication technology and vehicle time-gap, the similarities and differences of ACC and CACC vehicles were expounded. The mainstream car-following models of ACC/CACC vehicles at present were divided into 3 categories: the car-following model based on intelligent drive, the car-following model of PATH laboratory of University of California, Berkeley, and the car-following model based on control theory. The modeling ideas of the 3 categories of car- following models were summarized, and their merits and drawbacks were also expounded. Representative achievements about the impacts of ACC/CACC vehicles on traffic flow characteristics were reviewed from 3 aspects of road capacity, traffic safety, and traffic flow stability. Then, the research status of this field was formed. Meanwhile, the future development trend was pointed out. Research result shows that the impacts of different ACC/CACC car-following models on road capacity have relatively big difference. ACC/CACC vehicles are helpful to improve traffic safety. However, because the uniform index of safety evaluation is absent, it is difficult to quantitatively evaluate the impacts of ACC/CACC vehicles on traffic safety. Small scale real vehicle tests validate that ACC vehicles have unstable traffic flow characteristics. The tests reject the numerical simulation- based results of ACC vehicles stability. But both numerical simulations and small scale real vehicle tests show that CACC vehicles can improve traffic flow stability well. Therefore, convincing conclusions are unable to be obtained based on computer simulations absolutely. Real vehicle tests are the necessary way of ACC/CACC research. In order to perfect the research of ACC/CACC in this field, the fundamental diagram models of mixed traffic flow with different proportions of ACC/CACC vehicles, the modeling methods for ACC/CACC car-following models in the intelligent and connected environment and the stability analysis methods for ACC/CACC mixed traffic flow should be built. 5 tabs, 2 figs, 57 refs.

References:

[1] KERNER B S. Experimental features of self-organization in traffic flow[J]. Physical Review Letters, 1998, 81 (17): 3797-3800.
[2] MAHMASSANI H S. Autonomous vehicles and connected vehicle systems: flow and operations considerations[J]. Transportation Science, 2016, 50(4): 1140-1162.
[3] NUNEN E V, KWAKKERNAAT M R J A E, PLOEG J, et al. Cooperative competition for future mobility[J]. IEEE Transactions on Intelligent Transportation Systems, 2012, 13(3): 1018-1025.
[4] DEY K C, YAN Li, WANG Xu-jie, et al. A review of communication, driver characteristics, and controls aspects of cooperative adaptive cruise control[J]. IEEE Transactions on Intelligent Transportation Systems, 2016, 17(2): 491-509.
[5] RAJAMANI R, SHLADOVER S E. An experimental comparative study of autonomous and co-operative vehicle-follower control systems[J]. Transportation Research Part C: Emerging Technologies, 2001, 9(1): 15-31.
[6] VINE S L, LIU Xiao-bo, ZHENG Fang-fang, et al. Automated cars: queue discharge at signalized intersections with ‘assured-clear-distance-ahead' driving strategies[J]. Transportation Research Part C: Emerging Technologies, 2016, 62: 35-54.
[7] VOLLRATH M, SCHLEICHER S, GELAU C. The influence of cruise control and adaptive cruise control on driving behavior—a driving simulator study[J]. Accident Analysis and Prevention, 2011, 43(3): 1134-1139.
[8] YU Shao-wei, SHI Zhong-ke. The effects of vehicular gap changes with memory on traffic flow in cooperative adaptive cruise control strategy[J]. Physica A: Statistical Mechanics and its Applications, 2015, 428: 206-223.
[9] CHEN Dan-jue, AHN S, CHITTURI M, et al. Towards vehicle automation: roadway capacity formulation for traffic mixed with regular and automated vehicles[J]. Transportation Research Part B: Methodological, 2017, 100: 196-221.
[10] JIA Dong-yao, NGODUY D. Enhanced cooperative car-following traffic model with the combination of V2V and V2I communication[J]. Transportation Research Part B: Methodological, 2016, 90: 172-191.
[11] 张德兆,王建强,刘佳熙,等.加速度连续型自适应巡航控制模式切换策略[J].清华大学学报:自然科学版,2010,50(8):1277- 1281. ZHANG De-zhao, WANG Jian-qiang, LIU Jia-xi, et al. Switching strategy for adaptive cruise control modes for continuous acceleration[J]. Journal of Tsinghua University: Science and Technology, 2010, 50(8): 1277-1281.(in Chinese)
[12] 华雪东,王 炜,王 昊.考虑车与车互联通讯技术的交通流跟驰模型[J].物理学报,2016,65(1):52-63. HUA Xue-dong, WANG Wei, WANG Hao. Traffic car-following model based on car communication technology[J]. Acta Physica Sinica, 2016, 65(1): 52-63.(in Chinese)
[13] 王 灿,马 钧.汽车CACC系统的车头时距策略研究[J].农业装备与车辆工程,2015,53(2):60-67. WANG Can, MA Jun. Study on automotive CACC systems headway policy[J]. Agricultural Equipment and Vehicle Engineering, 2015, 53(2): 60-67.(in Chinese)
[14] 王 昊,刘振全,张志学,等.考虑双前导车的跟驰与换道联合模型[J].东南大学学报:自然科学版,2015,45(5):985-989. WANG Hao, LIU Zhen-quan, ZHANG Zhi-xue, et al. Doubel-head car-following and lane-changing combined model[J]. Journal of Southeast University: Natural Science Edition, 2015, 45(5): 985-989.(in Chinese)
[15] 金峻臣.基于ACC系统的跟驰模型改进分析[J].科学技术与工程,2011,11(26):6396-6400. JIN Jun-chen. Research on improved car-following based on ACC system[J]. Science Technology and Engineering, 2011, 11(26): 6396-6400.(in Chinese)
[16] 罗莉华.汽车自适应巡航控制及相应宏观交通流模型研究[D].杭州:浙江大学,2011. LUO Li-hua. Vehicle adaptive cruise control and the corresponding macroscopic traffic flow model[D]. Hangzhou: Zhejiang University, 2011.(in Chinese)
[17] XIAO Ling-yun, GAO Feng. A comprehensive review of the development of adaptive cruise control systems[J]. Vehicle System Dynamics, 2010, 48(10): 1167-1192.
[18] 张智勇,荣 建,任福田.跟车模型研究综述[J].公路交通科技,2004,21(8):108-113. ZHANG Zhi-yong, RONG Jian, REN Fu-tian. Review of car following model research[J]. Journal of Highway and Transportation Research and Development, 2004, 21(8): 108-113.(in Chinese)
[19] 王殿海,金 盛.车辆跟驰行为建模的回顾与展望[J].中国公路学报,2012,25(1):115-127. WANG Dian-hai, JIN Sheng. Review and outlook of modeling of car following behavior[J]. China Journal of Highway and Transport, 2012, 25(1): 115-127.(in Chinese)
[20] 陈 涛,陈燕芹,邓 刚,等.驾驶人行为模型的研究综述[J].长安大学学报:自然科学版,2016,36(2):80-90. CHEN Tao, CHEN Yan-qin, DENG Gang, et al. Review of driver behavior models[J]. Journal of Chang'an University: Natural Science Edition, 2016, 36(2): 80-90.(in Chinese)
[21] MARSDEN G, MCDONALD M, BRACKSTONE M. Towards an understanding of adaptive cruise control[J]. Transportation Research Part C: Emerging Technologies, 2001, 9(1): 33-51.
[22] SHLADOVER S E, SU Dong-yan, LU Xiao-yun. Impacts of cooperative adaptive cruise control on freeway traffic flow[J].Transportation Research Record, 2012(2324): 63-70.
[23] TREIBER M, HENNECKE A, HELBING D. Congested traffic states in empirical observations and microscopic simulations[J]. Physical Review E, 2000, 62(2): 1805-1824.
[24] KESTING A, TREIBER M, HELBING D. Enhanced intelligent driver model to access the impact of driving strategies on traffic capacity[J]. Philosophical Transactions of the Royal Society of London A: Mathematical, Physical and Engineering Sciences, 2010, 368(1928): 4585-4605.
[25] LI Zhi-peng, LI Wen-zhong, XU Shang-zhi, et al. Stability analysis of an extended intelligent driver model and its simulations under open boundary condition[J]. Physica A: Statistical Mechanics and its Applications, 2015, 419: 526-536.
[26] KESTING A, TREIBER M, SCHONHOF M, et al. Extending adaptive cruise control to adaptive driving strategies[J]. Transportation Research Record, 2007(2000): 16-24.
[27] MILANES V, SHLADOVRE S E. Modeling cooperative and autonomous adaptive cruise control dynamic responses using experimental data[J]. Transportation Research Part C: Emerging Technologies, 2014, 48: 285-300.
[28] VANDERWERF J, SHLADOVRE S, KOURJANSKAIA N, et al. Modeling effects of driver control assistance systems on traffic[J]. Transportation Research Record, 2001(1748): 167-174.
[29] SHLADOVRE S E, TAN S K. Analysis of vehicle positioning accuracy requirements for communication-based cooperative collision warning[J]. Journal of Intelligent Transportation Systems, 2007, 10(3): 131-140.
[30] SHLADOVRE S E, DESOER C A, HEDRICK J K, et al. Automated vehicle control developments in the PATH program[J]. IEEE Transactions on Vehicular Technology, 1991, 40(1): 114-130.
[31] NUS G J L, PLOEG J, MOLENGRAFT M J G V D, et al. Design and implementation of parameterized adaptive cruise control: an explicit model predictive control approach[J]. Control Engineering Practice, 2010, 18(8): 882-892.
[32] NARANJO J E, GONZALEZ C, GARCIA R, et al. ACC+ stop and go maneuvers with throttle and brake fuzzy control [J]. IEEE Transactions on Intelligent Transportation Systems, 2006, 7(2): 213-225.
[33] GEIGER A, LAUER M, MOOSMANN F, et al. Team annieway's entry to the 2011 grand cooperative driving challenge [J]. IEEE Transactions on Intelligent Transportation Systems, 2012, 13(3): 1008-1017.
[34] MILANES V, SHLADOVER S E, SPRING J, et al. Cooperative adaptive cruise control in real traffic situations[J]. IEEE Transactions on Intelligent Transportation Systems, 2014, 15(1): 296-305.
[35] NAUS G J L, VUGTS R P A, PLOEG J, et al. String-stable CACC design and experimental validation: a frequency- domain approach[J]. IEEE Transactions on Vehicular Technology, 2010, 59(9): 4268-4279.
[36] KIANFAR R, AUGUSTO B, EBADIGHAJARI A, et al. Design and experimental validation of a cooperative driving system in the grand cooperative driving challenge[J]. IEEE Transactions on Intelligent Transportation Systems, 2012, 13(3): 994-1007.
[37] KESTING A, TREIBER M, SCHONHOF M, et al. Adaptive cruise control design for active congestion avoidance[J]. Transportation Research Part C: Emerging Technologies, 2008, 16(6): 668-683.
[38] NTOUSAKIS I A, NIKOLOS I K, PAPAGEORGIOU M. On microscopic modeling of adaptive cruise control systems[J]. Transportation Research Procedia, 2015, 6: 111-127.
[39] VANDERWERF J, SHLADOVER S E, MILLER M A, et al. Effects of adaptive cruise control systems on highway traffic flow capacity[J]. Transportation Research Record, 2002(1800): 78-84.
[40] VAN AREM B, VAN DRIEL C J G, VISSER R. The impact of cooperative adaptive cruise control on traffic-flow characteristics[J]. IEEE Transactions on Intelligent Transportation Systems, 2006, 7(4): 429-436.
[41] ZOHDY I H, RAKHA H A. Enhancing roundabout operations via vehicle connectivity[J]. Transportation Research Record, 2013(2381): 91-100.
[42] LU Xiao-yun, SHLADOVER S E, JAWAD I, et al. A novel speed-measurement based variable speed limit/advisory algorithm for a freeway corridor with multiple bottlenecks[C]∥TRB. 94th TRB Annual Conference. Washington DC: TRB, 2015: 1-16.
[43] LEE J D, MCGEHEE D V, BROWN T L, et al. Effects of adaptive cruise control and alert modality on driver performance[J]. Transportation Research Record, 2006(1980): 49-56.
[44] WANG J, RAJAMANI R. The impact of adaptive cruise control systems on highway safety and traffic flow[J]. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 2004, 218(2): 111-130.
[45] MOON S, MOON I, YI K. Design, tuning, and evaluation of a full-range adaptive cruise control system with collision avoidance[J]. Control Engineering Practice, 2009, 17(4): 442-455.
[46] FARAH H, KOUTSOPOULOS H N. Do cooperative systems make drivers' car-following behavior safer?[J]. Transportation Research Part C: Emerging Technologies, 2014, 41: 61-72.
[47] MILANES V, SHLADOVER S E. Handling cut-in vehicles in strings of cooperative adaptive cruise control vehicles[J]. Journal of Intelligent Transportation Systems, 2016, 20(2): 178-191.
[48] NIEUWENHUIJZE M R I, KEULEN T V, ONCU S, et al. Cooperative driving with a heavy-duty truck in mixed traffic: Experimental results[J]. IEEE Transactions on Intelligent Transportation Systems, 2012, 13(3): 1026-1032.
[49] GE J I, OROSZ G. Dynamics of connected vehicle systems with delayed acceleration feedback[J]. Transportation Research Part C: Emerging Technologies, 2014, 46: 46-64.
[50] SCHAKEL W J, KNOOP V L, AREM B V. Integrated lane change model with relaxation and synchronization [J].Transportation Research Record, 2012(2316): 47-57.
[51] WANG Meng, DAAMEN W, HOOGENDOORN S P, et al. Cooperative car-following control: distributed algorithm and impact on moving jam features[J]. IEEE Transactions on Intelligent Transportation Systems, 2016, 17(5): 1459-1471.
[52] SAU J, MONTEIL J, BILLOT R, et al. The root locus method: application to linear stability analysis and design of cooperative car-following models[J]. Transportmetrica B: Transport Dynamics, 2014, 2(1): 60-82.
[53] HOLLAND E N. A generalised stability criterion for motorway traffic[J]. Transportation Research Part B: Methodological, 1998, 32(2): 141-154.
[54] WARD J A. Heterogeneity, lane-changing and instability in traffic: a mathematical approach[D]. Bristol: University of Bristol, 2009.
[55] TALEBPOUR A, MAHMASSANI H S. Influence of connected and autonomous vehicles on traffic flow stability and throughput[J]. Transportation Research Part C: Emerging Technologies, 2016, 71: 143-163.
[56] PUEBOOBPAPHAN R, AREM B V. Driver and vehicle characteristics and platoon and traffic flow stability: understanding the relationship for design and assessment of cooperative adaptive cruise control[J]. Transportation Research Record, 2010(2189): 89-97.
[57] LEE J, PARK B. Development and evaluation of a cooperative vehicle intersection control algorithm under the connected vehicles environment[J]. IEEE Transactions on Intelligent Transportation Systems, 2012, 13(1): 81-90.

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Last Update: 2017-08-05