地面交通控制的百年回顾和未来展望

李力; 王飞跃

doi:10.16383/j.aas.2018.c170616

地面交通控制的百年回顾和未来展望

doi: 10.16383/j.aas.2018.c170616

李力^1,,
王飞跃^2,3,4,5, ,

1.
北京信息科学与技术国家研究中心, 清华大学自动化系北京 100084
2.
中国科学院自动化研究所复杂系统管理与控制国家重点实验室北京 100190
3.
青岛智能产业技术研究院青岛 266109
4.
国防科学技术大学军事计算实验与平行系统技术中心长沙 410073
5.
中国科学院大学中国经济与社会安全研究中心北京 101408

基金项目:

北京市科技项目 D17110600030000

国家自然科学基金 61233001

国家自然科学基金 91520301

国家自然科学基金 71232006

北京市科技项目 ZC179074Z

国家自然科学基金 61533019

详细信息

作者简介:
李力清华大学自动化系副教授.主要研究方向为人工智能, 智能交通系统和智能汽车.E-mail:li-li@tsinghua.edu.cn

通讯作者:
王飞跃中国科学院自动化研究所复杂系统管理与控制国家重点实验室研究员, 国防科技大学军事计算实验与平行系统技术中心教授, 中国科学院大学中国经济与社会安全研究中心主任.主要研究方向为智能系统和复杂系统的建模, 分析与控制.本文通信作者.E-mail:feiyue.wang@ia.ac.cn

计量
- 文章访问数: 2213
- HTML全文浏览量: 481
- PDF下载量: 1608
- 被引次数: 0
出版历程
- 收稿日期: 2017-11-07
- 录用日期: 2018-03-07
- 刊出日期: 2018-04-20

Ground Traffic Control in the Past Century and Its Future Perspective

LI Li^1
,,
WANG Fei-Yue^{2,3,4,5
, ,}

1.
Department of Automation, Beijing National Research Center for Information Science and Technology(BNRist), Tsinghua University, Beijing 100084
2.
The State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190
3.
Qingdao Academy of Intelligent Industries, Qingdao 266109
4.
Research Center of Military Computational Experiments and Parallel System, National University of Defense Technology, Changsha 410073
5.
Center of China Economic and Social Security, The University of Chinese Academy of Sciences, Beijing 101408

Funds:

Beijing Municipal Science and Technology Commission Program under Grant D17110600030000

National Natural Science Foundation of China 61233001

National Natural Science Foundation of China 91520301

National Natural Science Foundation of China 71232006

Beijing Municipal Science and Technology Commission Program under Grant ZC179074Z

National Natural Science Foundation of China 61533019

More Information

Author Bio:
Associate professor in the Department of Automation, Tsinghua University. His research interest covers artificial intelligence, intelligent transportation systems, intelligent vehicles

Corresponding author: WANG Fei-Yue Professor at The State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences. He is also a professor at the Research Center of Military Computational Experiments and Parallel System, National University of Defense Technology; and the Director of the Center of China Economic and Social Security, University of Chinese Academy of Sciences. His research interest covers modeling, analysis, and control of intelligent systems and complex systems. Corresponding author of this paper

摘要

摘要: 从路权这个新的角度回顾了过去100年地面交通控制发展的几个关键转变点，并结合目前新兴的网联车和无人车技术，分析了今后50年地面交通控制的发展方向.
- 交通控制 /
- 无人车 /
- 自动驾驶 /
- 路权
Abstract: In this paper, we first review the past 100-year development of ground traffic control from the viewpoint of right of way. Then, based on the development of the recent connected and automated vehicle (CAV) technologies, we provide a perspective of its next 50-year development.
- Traffic control /
- connected and automated vehicles (CAV) /
- autonomous driving /
- right of way
注释:

1) 本文责任编委魏庆来

HTML全文

图 1 1924年德国柏林坡茨坦广场的五边交通灯塔

Fig. 1 The famous five-sided traffic light tower installed at Berlin's Potsdamer Platz in 1924

下载: 全尺寸图片幻灯片

图 2 地面交通控制百年发展时间轴图

Fig. 2 Timeline for the past 100-year development of ground traffic control

下载: 全尺寸图片幻灯片

图 3 2014年IEEE智能交通年会上中国多家高校和企业联合演示的基于车路协同技术的交通信号提示和车辆速度导引控制

Fig. 3 The V2X-based signal alert and speed guidance system demonstrated by the union of several Chinese universities and companies during IEEE International Conference on Intelligent Transportation Systems 2014

下载: 全尺寸图片幻灯片

参考文献(56)

[1]	Lay M G. Ways of the World:A History of the World's Roads and the Vehicles that Used Them. New Brunswick:Rutgers University Press, 1992.
[2]	Weingroff R F. On the right side of the road[Online], available: https://www.fhwa.dot.gov/infrastructure/right.cfm, July 6, 2017.
[3]	Yin J T, Tang T, Yang L X, Xun J, Huang Y R, Gao Z Y. Research and development of automatic train operation for railway transportation systems:a survey. Transportation Research Part C:Emerging Technologies, 2017, 85:548-572 doi: 10.1016/j.trc.2017.09.009
[4]	李力, 王飞跃, 郑南宁, 张毅.驾驶行为智能分析的研究与发展.自动化学报, 2007, 33(10):1014-1022 http://www.aas.net.cn/CN/abstract/abstract17279.shtml Li Li, Wang Fei-Yue, Zheng Nan-Ning, Zhang Yi. Research and developments of intelligent driving behavior analysis. Acta Automatica Sinica, 2007, 33(10):1014-1022 http://www.aas.net.cn/CN/abstract/abstract17279.shtml
[5]	Christopher P U, Ian J M, Dmitri A D, Zhu J J. Pedestrian Notifications, US Patent, US009196164B1, November 2015
[6]	100 years of Traffic Light[Online], available: https://www.siemens.com/press/en/feature/2014/infrastructure-cities/2014-08-trafficlights100.php, October 19, 2017.
[7]	Gazis D C. Optimum control of a system of oversaturated intersections. Operations Research, 1964, 12(6):815-831 doi: 10.1287/opre.12.6.815
[8]	Green D H. Control of oversaturated intersections. Operations Research, 1967, 18(2):161-173 doi: 10.1057/jors.1967.27
[9]	李力, 姜锐, 贾斌, 赵晓梅.现代交通流理论与应用, 卷Ⅰ, 高速公路交通流.北京:清华大学出版社, 2010. Li Li, Jiang Rui, Jia Bin, Zhao Xiao-Mei. Modern Traffic Flow Theory and Applications, Vol. Ⅰ, Highway Traffic, Tsinghua University Press, Beijing, China, 2010, ISBN 978-7-302-23807-2.
[10]	Zhao L, Peng X S, Li L, Li Z J. A fast signal timing algorithm for individual oversaturated intersections. IEEE Transactions on Intelligent Transportation Systems, 2011, 12(1):280-283 doi: 10.1109/TITS.2010.2076808
[11]	Li L, Yang K D, Li Z H, Zhang Z. The optimality condition of the multiple-cycle smoothed curve signal timing model.Transportation Research Part C:Emerging Technologies, 2013, 27:46-57 doi: 10.1016/j.trc.2012.12.004
[12]	Yin Y F. Robust optimal traffic signal timing. Transportation Research Part B:Methodological, 2008, 42(10):911-924 doi: 10.1016/j.trb.2008.03.005
[13]	Lee C S G, Saridis G N. Hierarchically intelligent control and management of traffic systems. IFAC Proceedings Volumes, 1981, 14(2):2395-2400 doi: 10.1016/S1474-6670(17)63826-6
[14]	Hunt P B, Robertson D I, Bretherton R D, Winton R I. SCOOT——A Traffic Responsive Method of Coordinating Signals. Technical Report TRRL-LR-1014, Transport and Road Research Laboratory, Wokingham, Berkshire, UK, 1981.
[15]	Robertson D I, Bretherton R D. Optimizing networks of traffic signals in real time-the SCOOT method. IEEE Transactions on Vehicular Technology, 1991, 40(1):11-15 doi: 10.1109/25.69966
[16]	Lowrie P R. The Sydney coordinated adaptive traffic system-principles, methodology, algorithms. In: Proceedings of 1982 International Conference on Road Traffic Signalling. London, UK: Institution of Electrical Engineers, 1982. 67-70
[17]	Lowrie P R. SCATS——A Traffic Responsive Method of Controlling Urban Traffic, Roads and Traffic Authority. Sydney, New South Wales: Roads and Traffic Authority, 1990.
[18]	Wang F Y. ITS with complete traffic control. IEEE Transactions on Intelligent Transportation Systems, 2014, 15(2):457-462 doi: 10.1109/TITS.2014.2311334
[19]	Wang F Y. The T-ITS awards and future transportation. IEEE Transactions on Intelligent Transportation Systems, 2014, 15(6):2353-2359 doi: 10.1109/TITS.2014.2368381
[20]	Mirchandani P, Wang F Y. RHODES to intelligent transportation systems. IEEE Intelligent Systems, 2005, 20(1):10-15 doi: 10.1109/MIS.2005.15
[21]	Wang F Y. Parallel control and management for intelligent transportation systems:concepts, architectures, and applications. IEEE Transactions on Intelligent Transportation Systems, 2010, 11(3):630-638 doi: 10.1109/TITS.2010.2060218
[22]	Guo W, Zhang Y, Li L. The integration of CPS, CPSS, and ITS:a focus on data. Tsinghua Science and Technology, 2015, 20(4):327-335 doi: 10.1109/TST.2015.7173449
[23]	Liu C, Herman R, Gazis D C. A review of the yellow interval dilemma. Transportation Research Part A:Policy and Practice, 1996, 30(5):333-348 doi: 10.1016/0965-8564(96)00001-8
[24]	Li L, Wen D, Zheng N N, Shen L C. Cognitive cars:a new frontier for ADAS research. IEEE Transactions on Intelligent Transportation Systems, 2012, 13(1):395-407 doi: 10.1109/TITS.2011.2159493
[25]	赵冬斌, 刘德荣, 易建强.基于自适应动态规划的城市交通信号优化控制方法综述.自动化学报, 2009, 35(6):676-681 http://www.aas.net.cn/CN/abstract/abstract13331.shtml Zhao Dong-Bin, Liu De-Rong, Yi Jian-Qiang. An overview on the adaptive dynamic programming based urban city traffic signal optimal control. Acta Automatica Sinica, 2009, 35(6):676-681 http://www.aas.net.cn/CN/abstract/abstract13331.shtml
[26]	Chi R H, Hou Z S. A model-free periodic adaptive control for freeway traffic density via ramp metering. Acta Automatica Sinica, 2010, 36(7):1029-1033 https://www.sciencedirect.com/science/article/pii/S187410290960046X
[27]	刘小明, 唐少虎, 朱凤华, 陈兆盟.基于MFD的城市区域过饱和交通信号优化控制.自动化学报, 2017, 43(7):1220-1233 http://www.aas.net.cn/CN/abstract/abstract19095.shtml Liu Xiao-Ming, Tang Shao-Hu, Zhu Feng-Hua, Chen Zhao-Meng. Urban area oversaturated traffic signal optimization control based on MFD. Acta Automatica Sinica, 2017, 43(7):1220-1233 http://www.aas.net.cn/CN/abstract/abstract19095.shtml
[28]	Li L, Song J Y, Wang F Y, Niehsen W, Zheng N N. IVS 05:new developments and research trends for intelligent vehicles. IEEE Intelligent Systems, 2005, 20(4):10-14 doi: 10.1109/MIS.2005.73
[29]	Florin R, Olariu S. A survey of vehicular communications for traffic signal optimization. Vehicular Communications, 2015, 2(2):70-79 doi: 10.1016/j.vehcom.2015.03.002
[30]	Younes M B, Boukerche A. Intelligent traffic light controlling algorithms using vehicular networks. IEEE Transactions on Vehicular Technology, 2016, 65(8):5887-5899 doi: 10.1109/TVT.2015.2472367
[31]	Xu B, Ban X J, Bian Y G, Wang J Q, Li K Q. V2I based cooperation between traffic signal and approaching automated vehicles. In: Proceedings of 2017 IEEE Intelligent Vehicles Symposium (Ⅳ). Los Angeles, CA, USA: IEEE, 2017. 1658-1664
[32]	Martinez F J, Toh C K, Cano J C, Calafate C T, Manzoni P. Emergency services in future intelligent transportation systems based on vehicular communication networks. IEEE Intelligent Transportation Systems Magazine, 2010, 2(2):6-20 doi: 10.1109/MITS.2010.938166
[33]	Pau G. Quickly home please:how connected vehicles are revolutionizing road transportation. IEEE Internet Computing, 2013, 17(1):80-83 doi: 10.1109/MIC.2013.13
[34]	Shladover S E. Connected and automated vehicle systems: introduction and overview. Journal of Intelligent Transportation Systems, to be published
[35]	Nobe S A, Wang F Y. An overview of recent developments in automated lateral and longitudinal vehicle controls. In: Proceedings of the 2001 IEEE International Conference on Systems, Man, and Cybernetics. Tucson, AZ, USA, USA: IEEE, 2001. 3447-3452
[36]	Zheng N N, Tang S M, Cheng H, Li Q, Lai G, Wang F W. Toward intelligent driver-assistance and safety warning system. IEEE Intelligent Systems, 2004, 19(2):8-11 doi: 10.1109/MIS.2004.1274904
[37]	Li L, Wang F Y. Cooperative driving at blind crossings using intervehicle communication. IEEE Transactions on Vehicular Technology, 2006, 55(6):1712-1724 doi: 10.1109/TVT.2006.878730
[38]	Dresner K, Stone P. A multiagent approach to autonomous intersection management. Journal of Artificial Intelligence Research, 2008, 31(1):591-656 http://dl.acm.org/citation.cfm?id=1622672&CFID=235189900&CFTOKEN=98015116
[39]	Li L, Wen D, Yao D Y. A survey of traffic control with vehicular communications. IEEE Transactions on Intelligent Transportation Systems, 2014, 15(1):425-432 doi: 10.1109/TITS.2013.2277737
[40]	Chen L, Englund C. Cooperative intersection management:a survey. IEEE Transactions on Intelligent Transportation Systems, 2016, 17(2):570-586 doi: 10.1109/TITS.2015.2471812
[41]	Meng Y, Li L, Wang F Y, Li K Q, Li Z H. Analysis of cooperative driving strategies for non-signalized intersections. IEEE Transactions on Vehicular Technology, to be published
[42]	Li P F, Zhou X S. Recasting and optimizing intersection automation as a connected-and-automated-vehicle (CAV) scheduling problem:a sequential branch-and-bound search approach in phase-time-traffic hypernetwork. Transportation Research Part B:Methodological, 2017, 105:479-506 doi: 10.1016/j.trb.2017.09.020
[43]	Cassandras C G. Automating mobility in smart cities. Annual Reviews in Control, 2017, 44:1-8 doi: 10.1016/j.arcontrol.2017.10.001
[44]	Liu W, Li Z H, Li L, Wang F Y. Parking like a human:a direct trajectory planning solution. IEEE Transactions on Intelligent Transportation Systems, 2017, 18(12):3388-3397 doi: 10.1109/TITS.2017.2687047
[45]	李力, 林懿伦, 曹东璞, 郑南宁, 王飞跃.平行学习——机器学习的一个新型理论框架.自动化学报, 2017, 43(1):1-8 http://www.aas.net.cn/CN/abstract/abstract18984.shtml Li Li, Lin Yi-Lun, Cao Dong-Pu, Zheng Nan-Ning, Wang Fei-Yue. Parallel learning——a new framework for machine learning. Acta Automatica Sinica, 2017, 43(1):1-8 http://www.aas.net.cn/CN/abstract/abstract18984.shtml
[46]	Li L, Lin Y L, Zheng N N, Wang F Y. Parallel learning:a perspective and a framework. IEEE/CAA Journal of Automatica Sinica, 2017, 4(3):389-395 doi: 10.1109/JAS.2017.7510493
[47]	FAA. NextGen Implementation Plan. Federal Aviation Administration, Washington, DC, USA, 2016.
[48]	Yang H, Wang X L. Managing network mobility with tradable credits. Transportation Research Part B:Methodological, 2011, 45(3):580-594 doi: 10.1016/j.trb.2010.10.002
[49]	Lin W H, Lo H K. Highway voting system:embracing a possible paradigm shift in traffic data acquisition. Transportation Research Part C:Emerging Technologies, 2015, 56:149-160 doi: 10.1016/j.trc.2015.03.025
[50]	Nie Y. Why is license plate rationing not a good transport policy? Transportmetrica A:Transport Science, 2017, 13(1):1-23 doi: 10.1080/23249935.2016.1202354
[51]	Daganzo C F, Cassidy M J. Effects of high occupancy vehicle lanes on freeway congestion. Transportation Research Part B:Methodological, 2008, 42(10):861-872 doi: 10.1016/j.trb.2008.03.002
[52]	Li L, Huang W L, Liu Y H, Zheng N N, Wang F Y. Intelligence testing for autonomous vehicles:a new approach. IEEE Transactions on Intelligent Vehicles, 2016, 1(2):158-166 doi: 10.1109/TIV.2016.2608003
[53]	Helbing D. Globally networked risks and how to respond. Nature, 2013, 497(7447):51-59 doi: 10.1038/nature12047
[54]	Wang F Y. Toward a revolution in transportation operations:AI for complex systems. IEEE Intelligent Systems, 2008, 23(6):8-13 doi: 10.1109/MIS.2008.112
[55]	王飞跃. 智能车如何上路? CSIS/CAST报告, 北京, 2007.
[56]	Ran B, Jin P J, Boyce D, Qiu T Z, Cheng Y. Perspectives on future transportation research:impact of intelligent transportation system technologies on next-generation transportation modeling. Journal of Intelligent Transportation Systems, 2012, 16(4):226-242 doi: 10.1080/15472450.2012.710158