[1] 张亚丽.世界卫生组织发布《2018年全球道路安全现状报告》[J].中华灾害救援医学,2019,DOI:CNKI:SUN:JYZH.0.2019-02-015.
ZHANG Ya-li. World health organization releases 2018 global status report on road safety[J]. Chinese Journal of Disaster Medicine, 2019, DOI:CNKI:SUN:JYZH.0. 2019-02-015.(in Chinese)
[2] 李克强,戴一凡,李升波,等.智能网联汽车(ICV)技术的发展现状及趋势[J].汽车安全与节能学报,2017,8(1):1-14.
LI Ke-qiang, DAI Yi-fan, LI Sheng-bo, et al. State-of-the-art and technical trends of intelligent and connected vehicles[J]. Journal of Automotive Safety and Energy, 2017, 8(1): 1-14.(in Chinese)
[3] 张 行,孙 航.GB/T 40429—2021《汽车驾驶自动化分级》分析[J].中国汽车,2022(5):3-5,7.
ZHANG Xing, SUN Hang. Analysis on taxonomy of driving automation for vehicles[J]. China Auto, 2022(5): 3-5, 7.(in Chinese)
[4] 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.
[5] MILANES V, SHLADOVER S E, SPRING J, et al. Cooperative adaptive cruise control in real traffic situations[J]. IEEE Transactions on Intelligent Transportation Systems, 2013, 15(1): 296-305.
[6] PLOEG J, SHUKLA D P, VAN DE WOUW N, et al. Controller synthesis for string stability of vehicle platoons[J]. IEEE Transactions on Intelligent Transportation Systems, 2013, 15(2): 854-865.
[7] DRESNER K, STONE P. A multiagent approach to autonomous intersection management[J]. Journal of Artificial Intelligence Research, 2008, 31: 591-656.
[8] FENG Y, HEAD K L, KHOSHMAGHAM S, et al. A real-time adaptive signal control in a connected vehicle environment[J]. Transportation Research Part C: Emerging Technologies, 2015, 55: 460-473.
[9] GULER S I, MENENDEZ M, MEIER L. Using connected vehicle technology to improve the efficiency of intersections[J]. Transportation Research Part C: Emerging Technologies, 2014, 46: 121-131.
[10] GOODALL N J, SMITH B L, PARK B. Traffic signal control with connected vehicles[J]. Transportation Research Record, 2013( 2381): 65-72.
[11] 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 A: Mathematical Physical and Engineering Sciences, 2010, 368(1928): 4585-4605.
[12] RAJU N, FARAH H. Evolution of traffic microsimulation and its use for modeling connected and automated vehicles[J]. Journal of Advanced Transportation, 2021, DOI: 10.1155/2021/2444363.
[13] CAO Xuan-hao, TIAN Yan-tao, JI Xue-wu, et al. Fault-tolerant controller design for path following of the autonomous vehicle under the faults in braking actuators[J]. IEEE Transactions on Transportation Electrification, 2021, 7(4): 2530-2540.
[14] HANG Peng, CHEN Xin-bo, LUO Feng-mei. LPV/H-infinity controller design for path tracking of autonomous ground vehicles through four-wheel steering and direct yaw-moment control[J]. International Journal of Automotive Technology, 2019, 20(4): 679-691.
[15] CHENG Shuo, LI Liang, LIU Yong-gang, et al. Virtual fluid-flow-model-based lane-keeping integrated with collision avoidance control system design for autonomous vehicles[J]. IEEE Transactions on Intelligent Transportation Systems, 2021, 22(10): 6232-6241.
[16] GONZALEZ D, PEREZ J, MILANES V, et al. A review of motion planning techniques for automated vehicles[J]. IEEE Transactions on Intelligent Transportation Systems, 2015, 17(4): 1135-1145.
[17] VAN BRUMMELEN J, O'BRIEN M, GRUYER D, et al. Autonomous vehicle perception: the technology of today and tomorrow[J]. Transportation Research Part C: Emerging Technologies, 2018, 89: 384-406.
[18] BATSCH F, KANARACHOS S, CHEAH M, et al. A taxonomy of validation strategies to ensure the safe operation of highly automated vehicles[J]. Journal of Intelligent Transportation Systems, 2021, 26(1): 14-33.
[19] BONNEFON J F, SHARIFF A, RAHWAN I. The social dilemma of autonomous vehicles[J]. Science, 2016, 352(6293): 1573-1576.
[20] LE V H, HARTOG J D, ZANNONE N. Security and privacy for innovative automotive applications: a survey[J]. Computer Communications, 2018, 132: 17-41.
[21] MILAKIS D, VAN AREM B, VAN WEE B. Policy and society related implications of automated driving: a review of literature and directions for future research[J]. Journal of Intelligent Transportation Systems, 2017, 21(4): 324-348.
[22] TEOH E R, KIDD D G. Rage against the machine? Google's self-driving cars versus human drivers[J]. Journal of Safety Research, 2017, 63: 57-60.
[23] PENMETSA P, SHEINIDASHTEGOL P, MUSAEV A, et al. Effects of the autonomous vehicle crashes on public perception of the technology[J]. IATSS Research, 2021, 45(4): 485-492.
[24] 黎冲森,王 耀.从蔚来ES8事故风波看自动驾驶的发展[J].汽车纵横,2021(9):8-13.
LI Chong-sen, WANG Yao. The development of autonomous driving from NIO ES8 accident[J]. Auto Review, 2021(9): 8-13.(in Chinese)
[25] PETTY K F, NOEIMI H, SANWAL K, et al. The freeway service patrol evaluation project: database support programs, and accessibility[J]. Transportation Research Part C: Emerging Technologies, 1996, 4(2): 71-85.
[26] VAN ECK N J, WALTMAN L. Software survey: VOSviewer, a computer program for bibliometric mapping[J]. Scientometrics, 2010, 84(2): 523-538.
[27] 程慧荣,张晓阳,孙 坦,等.基于Web of Science的本体研究论文定量分析[J].现代图书情报技术,2006(11):46-50.
CHENG Hui-rong, ZHANG Xiao-yang, SUN Tan, et al. A quantitative analysis of ontology research articles based on web of science[J]. Data Analysis and Knowledge Discovery, 2006(11): 46-50.(in Chinese)
[28] GLASER S, VANHOLME B, MAMMAR S, et al. Maneuver-based trajectory planning for highly autonomous vehicles on real road with traffic and driver interaction[J]. IEEE Transactions on Intelligent Transportation Systems, 2010, 11(3): 589-606.
[29] REINA G, MILELLA A. FLane: an adaptive fuzzy logic lane tracking system for driver assistance[J]. Journal of Dynamic Systems, Measurement, and Control, 2011, 133(2): 1-11.
[30] MARKVOLLRAT H, SCHLEICHER S, GELAU C. The influence of cruise control and adaptive cruise control on driving behaviour—a driving simulator study[J]. Accident Analysis and Prevention, 2011, 43(3): 1134-1139.
[31] MILANES V, LLORCA D F, VILLAGRA J, et al. Intelligent automatic overtaking system using vision for vehicle detection[J]. Expert Systems with Applications, 2012, 39(3): 3362-3373.
[32] FAJARDO D, AU T C, WALLER S T, et al. Automated intersection control: performance of future innovation versus current traffic signal control[J]. Transportation Research Record, 2011(2259): 223-232.
[33] VASIRANI M, OSSOWSKI S. Learning and coordination for autonomous intersection control[J]. Applied Artificial Intelligence, 2011, 25(3): 193-216.
[34] FURDA A, VLACIC L. Enabling safe autonomous driving in real-world city traffic using multiple criteria decision making[J]. IEEE Intelligent Transportation Systems Magazine, 2011, 3(1): 4-17.
[35] VERES S M, MOLNAR L, LINCOLN N K, et al. Autonomous vehicle control systems—a review of decision making[J]. Journal of Systems and Control Engineering, 2011, 225(2): 155-195.
[36] MILANES V, GONZALEZ C, NARANJO J E, et al. Electro-hydraulic braking system for autonomous vehicles[J]. International Journal of Automotive Technology, 2010, 11(1): 89-95.
[37] KIM E, KIM J, SUNWOO M. Model predictive control strategy for smooth path tracking of autonomous vehicles with steering actuator dynamics[J]. International Journal of Automotive Technology, 2014, 15(7): 1155-1164.
[38] KAMAL M A S, IMURA J, HAYAKAWA T, et al. Smart driving of a vehicle using model predictive control for improving traffic flow[J]. IEEE Transactions on Intelligent Transportation Systems, 2014, 15(2): 878-888.
[39] LIN C F, JUANG J C, LI K R. Active collision avoidance system for steering control of autonomous vehicles[J]. IET Intelligent Transport Systems, 2014, 8(6): 550-557.
[40] XU Li-jian, WANG Le-yi, YIN G, et al. Communication information structures and contents for enhanced safety of highway vehicle platoons[J]. IEEE Transactions on Vehicular Technology, 2014, 63(9): 4206-4220.
[41] FAGNANT D J, KOCKELMAN K. Preparing a nation for autonomous vehicles: opportunities, barriers and policy recommendations[J]. Transportation Research Part A: Policy and Practice, 2015, 77: 167-181.
[42] LEVIN M W, BOYLES S D. Effects of autonomous vehicle ownership on trip, mode, and route choice[J]. Transportation Research Record, 2015(2493): 29-38.
[43] GHIASI A, HUSSAIN O, QIAN Z S, et al. A mixed traffic capacity analysis and lane management model for connected automated vehicles: a Markov chain method[J]. Transportation Research Part B: Methodological, 2017, 106: 266-292.
[44] BAGLOEE S A, SARVI M, PATRIKSSON M, et al. A mixed user-equilibrium and system-optimal traffic flow for connected vehicles stated as a complementarity problem[J]. Computer-Aided Civil and Infrastructure Engineering, 2017, 32(7): 562-580.
[45] PETIT J, SHLADOVER S E. Potential cyberattacks on automated vehicles[J]. IEEE Transactions on Intelligent Transportation Systems, 2014, 16(2): 546-556.
[46] PARKINSON S, WARD P, WILSON K, et al. Cyber threats facing autonomous and connected vehicles: future challenges[J]. IEEE Transactions on Intelligent Transportation Systems, 2017, 18(11): 2898-2915.
[47] HUANG Zi-chao, CHU Duan-feng, WU Chao-zhong, et al. Path planning and cooperative control for automated vehicle platoon using hybrid automata[J]. IEEE Transactions on Intelligent Transportation Systems, 2019, 20(3): 959-974.
[48] YANG Jun-ru, PENG Wei-feng, SUN Chuan. A learning control method of automated vehicle platoon at straight path with DDPG-based PID[J]. Electronics, 2021, DOI: 10.3390/electronics10212580.
[49] GUNTER G, GLOUDEMANS D, STERN R E, et al. Are commercially implemented adaptive cruise control systems string stable?[J]. IEEE Transactions on Intelligent Transportation Systems, 2021, 22(11): 6992-7003.
[50] JIANG Xiao-bei, WANG Wu-hong, BENGLER K, et al. Analysis of drivers' performance in response to potential collision with pedestrians at urban crosswalks[J]. IET Intelligent Transport Systems, 2017, 11(9): 546-552.
[51] HE Ying, ZHAO Nan, YIN Hong-xi. Integrated networking, caching, and computing for connected vehicles: a deep reinforcement learning approach[J]. IEEE Transactions on Vehicular Technology, 2017, 67(1): 44-55.
[52] CAI Xiu-zhang, GIALLORENZO M, SARABANDI K. Machine learning-based target classification for MMW radar in autonomous driving[J]. IEEE Transactions on Intelligent Vehicles, 2021, 6(4): 678-689.
[53] DEB S, STRAWDERMAN L, CARRUTH D W, et al. Development and validation of a questionnaire to assess pedestrian receptivity toward fully autonomous vehicles[J]. Transportation Research Part C: Emerging Technologies, 2017, 84: 178-195.
[54] TREIBER M, HENNECKE A, HELBING D. Congested traffic states in empirical observations and microscopic simulations[J]. Physical Review E, 2000, 62(2): 1805-1824.
[55] Hoedemaeker D M. Driving with intelligent vehicles: driving behaviour with adaptive cruise control and the acceptance by individual drivers[D]. Delft: Delft University of Technology, 1999.
[56] GIRARD A R, DE SOUSA J B, MISENER J A, et al. A control architecture for integrated cooperative cruise control and collision warning systems[C]∥IEEE. Proceedings of the 40th IEEE Conference on Decision and Control. New York: IEEE, 2001: 1491-1496.
[57] 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.
[58] SHLADOVER S E, SU D Y, LU X Y. Impacts of cooperative adaptive cruise control on freeway traffic flow[J]. Transportation Research Record, 2012(2324): 63-70.
[59] USMAN G,KUNWAR F. Autonomous vehicle overtaking-an online solution[C]∥IEEE. 2009 IEEE International Conference on Automation and Logistics. New York: IEEE, 2009: 596-601.
[60] LIU Kai, GONG Jian-wei, KURT A, et al. Dynamic modeling and control of high-speed automated vehicles for lane change maneuver[J]. IEEE Transactions on Intelligent Vehicles, 2018, 3(3): 329-339.
[61] WANG Hao-ran, LAI Jin-tao, ZHANG Xian-hong, et al. Make space to change lane: a cooperative adaptive cruise control lane change controller[J]. Transportation Research Part C: Emerging Technologies, 2022, 143: 103847.
[62] 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.
[63] 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.
[64] FAGNANT D J, KOCKELMAN K M. The travel and environmental implications of shared autonomous vehicles, using agent-based model scenarios[J]. Transportation Research Part C: Emerging Technologies, 2014, 40: 1-13.
[65] KYRIAKIDIS M, HAPPEE R, DE WINTER J C F. Public opinion on automated driving: results of an international questionnaire among 5 000 respondents[J]. Transportation Research Part F: Traffic Psychology and Behaviour, 2015, 32: 127-140.
[66] HABOUCHA C J, ISHAQ R, SHIFTAN Y. User preferences regarding autonomous vehicles[J]. Transportation Research Part C: Emerging Technologies, 2017, 78: 37-49.
[67] PADEN B, CAP M, YONG S Z, et al. A survey of motion planning and control techniques for self-driving urban vehicles[J]. IEEE Transactions on Intelligent Vehicles, 2016, 1(1): 33-55.
[68] KATRAKAZAS C, QUDDUS M, CHEN W H, et al. Real-time motion planning methods for autonomous on-road driving: state-of-the-art and future research directions[J]. Transportation Research Part C: Emerging Technologies, 2015, 60: 416-442.
[69] WANG Chen, XIE Yuan-chang, HUANG He-lai, et al. A review of surrogate safety measures and their applications in connected and automated vehicles safety modeling[J]. Accident Analysis and Prevention, 2021, 157: 106157.
[70] ASLJUNG D, NILSSON J, FREDRIKSSON J. Using extreme value theory for vehicle level safety validation and implications for autonomous vehicles[J]. IEEE Transactions on Intelligent Vehicles, 2017, 2(4): 288-297.
[71] FERNANDES P, NUNES U. Multiplatooning leaders positioning and cooperative behavior algorithms of communicant automated vehicles for high traffic capacity[J]. IEEE Transactions on Intelligent Transportation Systems, 2014, 16(3): 1172-1187.
[72] WANG Huan-jie, YUAN Shi-hua, GUO Meng-yu, et al. A deep reinforcement learning-based approach for autonomous driving in highway on-ramp merge[J]. Journal of Automobile Engineering, 2021, 235(10/11): 2726-2739.
[73] WANG Xue-song, QIN Ding-ming, CAFISO S, et al. Operational design domain of autonomous vehicles at skewed intersection[J]. Accident Analysis and Prevention, 2021, 159: 106241.
[74] CHEN Si-kai, DONG Ji-qian, HA P, et al. Graph neural network and reinforcement learning for multi-agent cooperative control of connected autonomous vehicles[J]. Computer-Aided Civil and Infrastructure Engineering, 2021, 36(7): 838-857.
[75] FU Xing, NIE Qi-fan, LIU Jun, et al. Constructing spatiotemporal driving volatility profiles for connected and automated vehicles in existing highway networks[J]. Journal of Intelligent Transportation Systems, 2022, 26(5): 1-14.
[76] DESIRAJU D, CHANTEM T, HEASLIP K. Minimizing the disruption of traffic flow of automated vehicles during lane changes[J]. IEEE Transactions on Intelligent Transportation Systems, 2014, 16(3): 1249-1258.
[77] RAHMAN M S, ABDEL-ATY M. Longitudinal safety evaluation of connected vehicles' platooning on expressways[J]. Accident Analysis and Prevention, 2018, 117: 381-391.
[78] ZHOU Fang, LI Xiao-peng, MA Jia-qi. Parsimonious shooting heuristic for trajectory design of connected automated traffic Part Ⅰ: theoretical analysis with generalized time geography[J]. Transportation Research Part B: Methodological, 2017, 95: 394-420.
[79] MA Jia-qi, LI Xiao-peng, ZHOU Fang, et al. Parsimonious shooting heuristic for trajectory design of connected automated traffic Part Ⅱ: computational issues and optimization[J]. Transportation Research Part B: Methodological, 2017, 95: 421-441.
[80] LEE J, PARK B B, MALAKORN K, et al. Sustainability assessments of cooperative vehicle intersection control at an urban corridor[J]. Transportation Research Part C: Emerging Technologies, 2013, 32: 193-206.
[81] JIANG Yang-sheng, ZHAO Bin, LIU Meng, et al. A two-level model for traffic signal timing and trajectories planning of multiple CAVs in a random environment[J]. Journal of Advanced Transportation, 2021, 2021: 1-13.
[82] GUO Qiang-qiang, LI Li, BAN X G. Urban traffic signal control with connected and automated vehicles: a survey[J]. Transportation Research Part C: Emerging Technologies, 2019, 101: 313-334.
[83] KATO S, TSUGAWA S, TOKUDA K, et al. Vehicle control algorithms for cooperative driving with automated vehicles and intervehicle communications[J]. IEEE Transactions on Intelligent Transportation Systems, 2002, 3(3): 155-161.
[84] GUO Yi, MA Jia-qi. DRL-TP3: a learning and control framework for signalized intersections with mixed connected automated traffic[J]. Transportation Research Part C: Emerging Technologies, 2021, 132: 103416.
[85] KHAITAN S, LIN Q, DOLAN J M. Safe planning and control under uncertainty for self-driving[J]. IEEE Transactions on Vehicular Technology, 2021, 70(10): 9826-9837.
[86] DEGUCHI D, SHIRASUNA M, DOMAN K, et al. Intelligent traffic sign detector: adaptive learning based on online gathering of training samples[C]∥IEEE. 2011 IEEE Intelligent Vehicles Symposium(IV). New York: IEEE, 2011: 72-77.
[87] WANG Jing-hua, ZHANG Zhao, LU Guang-quan. A Bayesian inference based adaptive lane change prediction model[J]. Transportation Research Part C: Emerging Technologies, 2021, 132: 103363.
[88] GRYMIN D J, NEAS C B, FARHOOD M. A hierarchical approach for primitive-based motion planning and control of autonomous vehicles[J]. Robotics and Autonomous Systems, 2014, 62(2): 214-228.
[89] XING Yang, LYU Chen, CAO Dong-pu, et al. Multi-scale driver behavior modeling based on deep spatial-temporal representation for intelligent vehicles[J]. Transportation Research Part C: Emerging Technologies, 2021, 130: 103288.
[90] NAGAHAMA A, SAITO T, WADA T, et al. Autonomous driving learning preference of collision avoidance maneuvers[J]. IEEE Transactions on Intelligent Transportation Systems, 2020, 22(9): 5624-5634.
[91] YE Lan-hang, YAMAMOTO T, MORIKAWA T. Heterogeneous traffic flow dynamics under various penetration rates of connected and autonomous vehicle[C]∥IEEE. 21st IEEE International Conference on Intelligent Transportation Systems(ITSC). New York: IEEE, 2018: 555-559.
[92] RAD S R, FARAH H, TAALE H, et al. The impact of a dedicated lane for connected and automated vehicles on the behaviour of drivers of manual vehicles[J]. Transportation Research Part F: Traffic Psychology and Behaviour, 2021, 82: 141-153.
[93] ONIEVA E, MILANES V, VILLAGRA J, et al. Genetic optimization of a vehicle fuzzy decision system for intersections[J]. Expert Systems with Applications, 2012, 39(18): 13148-13157.
[94] KHAN S M, CHOWDHURY M. Situation-aware left-turning connected and automated vehicle operation at signalized intersections[J]. IEEE Internet of Things Journal, 2021, 8(16): 13077-13094.
[95] ARVIN R, KHATTAK A J, KAMRANI M, et al. Safety evaluation of connected and automated vehicles in mixed traffic with conventional vehicles at intersections[J]. Journal of Intelligent Transportation Systems, 2020, 25(2): 170-187.
[96] DIXIT V V, CHAND S, NAIR D J. Autonomous vehicles: disengagements, accidents and reaction times[J]. PlosOne, 2016, 11(12): 168054.
[97] CELINA K, FLORIAN K, TOBIAS V. Consequences of autonomous vehicles: ambivalent expectations and their impact on acceptance[J]. Transportation Research Part F: Traffic Psychology and Behaviour, 2021, 81: 282-294.
[98] NADAFIANSHAHAMABADI R, TAYARANI M, ROWANGOULD G. A closer look at urban development under the emergence of autonomous vehicles: traffic, land use and air quality impacts[J]. Journal of Transport Geography, 2021, 94: 103113.
[99] SERAJ M, LI Jiang-chen, QIU Zhi-jun. Modeling microscopic car-following strategy of mixed traffic to identify optimal platoon configurations for multiobjective decision-making[J]. Journal of Advanced Transportation, 2018, DOI: 10.1155/2018/7835010.
[100] VIRDI N, GRZYBOWSKA H, WALLER S T, et al. A safety assessment of mixed fleets with connected and autonomous vehicles using the surrogate safety assessment module[J]. Accident Analysis and Prevention, 2019, 131: 95-111.
[101] CHEN Liang, ZHANG Yun, LI Kun, et al. Car-following model of connected and autonomous vehicles considering both average headway and electronic throttle angle[J]. Modern Physics Letters B, 2021, 35(15): 2150257.
[102] YAO Han-dong, LI Xiao-peng. Lane-change-aware connected automated vehicle trajectory optimization at a signalized intersection with multi-lane roads[J]. Transportation Research Part C: Emerging Technologies, 2021, 129: 103182.
[103] RYAN C, MURPHY F, MULLINS M. End-to-end autonomous driving risk analysis: a behavioural anomaly detection approach[J]. IEEE Transactions on Intelligent Transportation Systems, 2021, 22(3): 1650-1662.
[104] MATTAS K, MAKRIDIS M, BOTZORIS G, et al. Fuzzy surrogate safety metrics for real-time assessment of rear-end collision risk. A study based on empirical observations[J]. Accident Analysis and Prevention, 2020, 148: 105794.
[105] KHASTGIR S, BIRRELL S, DHADYALLA G, et al. Development of a drive-in driver-in-the-loop fully immersive driving simulator for virtual validation of automotive systems[C]∥IEEE. 2015 IEEE 81st Vehicular Technology Conference(VTC Spring). New York: IEEE, 2015: 1-4.
[106] XING Yang, LYU Chen, MO Xiao-yu, et al. Toward safe and smart mobility: energy-aware deep learning for driving behavior analysis and prediction of connected vehicles[J]. IEEE Transactions on Intelligent Transportation Systems, 2021, 22(7): 4267-4280.
[107] OSMAN O A, ISHAK S. Prediction of travel time estimation accuracy in connected vehicle environments[C]∥Springer. 2017 International Congress and Exhibition “ Sustainable Civil Infrastructures: Innovative Infrastructure Geotechnology”. Berlin: Springer, 2017: 72-87.
[108] LI Yang, WANG Jian-qiang, WU Jian. Model calibration concerning risk coefficients of driving safety field model[J]. Journal of Central South University, 2017, 24(6): 1494-1502.
[109] WANG Hua, MENG Qiang, CHEN Shu-kai, et al. Competitive and cooperative behaviour analysis of connected and autonomous vehicles across unsignalised intersections: a game-theoretic approach[J]. Transportation Research Part B: Methodological, 2021, 149: 322-346.
[110] PAPAKOSTOPOULOS V, NATHANAEL D, PORTOULI E, et al. Effect of external HMI for automated vehicles(AVs)on drivers' ability to infer the AV motion intention: a field experiment[J]. Transportation Research Part F: Traffic Psychology and Behaviour, 2021, 82: 32-42.
[111] CASNER S M, HUTCHINS E L, NORMAN D. The challenges of partially automated driving[J]. Communications of the ACM, 2016, 59(5): 70-77.
[112] ALREFAIE M T, SUMMERSKILL S, JACKON T W. In a heart beat: using driver's physiological changes to determine the quality of a takeover in highly automated vehicles[J]. Accident Analysis and Prevention, 2019, 131: 180-190.
[113] VOGELPOHL T, KÜHN M, HUMMEL T, et al. Asleep at the automated wheel—sleepiness and fatigue during highly automated driving[J]. Accident Analysis and Prevention, 2019, 126: 70-84.
[114] YOON S H, KIM Y W, JI Y G. The effects of takeover request modalities on highly automated car control transitions[J]. Accident Analysis and Prevention, 2019, 123: 150-158.
[115] BRANDENBURG S, CHUANG L. Take-over requests during highly automated driving: how should they be presented and under what conditions?[J]. Transportation Research Part F: Traffic Psychology and Behaviour, 2019, 66: 214-225.
[116] ZEEB K, BUCHNER A, SCHRAUF M. What determines the take-over time? An integrated model approach of driver take-over after automated driving[J]. Accident Analysis and Prevention, 2015, 78: 212-221.
[117] SPORTILLO D, PALJIC A, OJEDA L. Get ready for automated driving using virtual reality[J]. Accident Analysis and Prevention, 2018, 118: 102-113.
[118] 郭延永,刘 攀,吴 瑶,等.基于冲突极值模型的非常规信号交叉口安全评价[J].中国公路学报,2022,35(1):85-92.
GUO Yan-yong, LIU Pan, WU Yao, et al. Safety evaluation of unconventional signalized intersection based on traffic conflict extreme model[J]. China Journal of Highway and Transport, 2022, 35(1): 85-92.(in Chinese)
[119] 郭延永,刘 攀,吴 瑶,等.考虑异质性的贝叶斯交通冲突模型[J].中国公路学报,2018,31(4):296-303.
GUO Yan-yong, LIU Pan, WU Yao, et al. Bayesian traffic conflict model accounting for heterogeneity[J]. China Journal of Highway and Transport, 2018, 31(4): 296-303.(in Chinese)
[120] 郭延永,刘 攀,吴 瑶,等.基于贝叶斯多元泊松-对数正态分布的交通冲突模型[J].中国公路学报,2018,31(1):101-109.
GUO Yan-yong, LIU Pan, WU Yao, et al. Traffic conflict model based on Bayesian multivariate Poisson-lognormal normal distribution[J]. China Journal of Highway and Transport, 2018, 31(1): 101-109.(in Chinese)