Control technology review of traffic congestion in urban road network under networked dynamic scheduling and control
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摘要: 以网络化动态链接交通装备下的城市交通安全监控为应用背景, 从路网交通安全性能评估的可靠性评价指标和评价方法出发, 分析了城市路网交通拥堵控制技术的国内外研究现状, 指出了路网交通拥堵控制技术研究存在的问题和进一步研究方向。分析结果表明: 由于网络化动态调控下交通信息资源存在传输时延、数据丢包与数据异常等缺陷, 当前路网交通拥堵控制技术存在整体协调能力不强、多维动态模式研究欠缺以及出行者与交通系统之间的协调控制能力偏弱等缺陷; 通过网络链接动态调配资源, 实现路网交通拥堵状态下的联动控制, 不仅需要考虑传统的交通畅通因素, 还需要综合考虑信息传输机制、信道容量大小等与信息资源密切相关的因素; 提出路网拥堵控制的关键子模型, 并集成子模型构建了一种基于模型化方法的路网交通拥堵控制技术体系框架, 框架的核心是交通数据库的建设; 城市路网交通拥堵的分布式智能控制方法、自适应智能控制方法与集成型智能控制方法是未来重点关注的研究方向。Abstract: With the application of urban traffic security supervision under networked dynamic-link transportation equipment, the present domestic and overseas researches of traffic congestion control technology for urban road network were summarized based on the road network traffic safety performances including reliability evaluation indexes and evaluation methods. The problems and further development of recent researches were pointed.Analysis result shows that because of transmitting delay, data packet loss, and data exception of traffic information in networked dynamic scheduling and control, the traditional traffic congestion control technologies and methods of road network have the lack of global coordination ability, multi-dimension dynamic mode, and coordination ability between traveler and traffic performance. The arrangement of networked dynamic-link resource can be used for the implementation of linkage control at traffic congestion status, but the traditional factors for unimpeded transportation and the factors relating to information resources, such as information transmitting mechanism and channel capacity etc., have to be comprehensively considered.The key sub-control models for the traffic congestion control of road network are proposed.These sub-models are further integrated to establish a systematic-model based on the framework of traffic congestion control technology.It is pointed out that the core content of the model-based frame is the construction of traffic sate database.The future development trend and research focus of traffic congestion control technology are distributed intelligent control, adaptive intelligent control, and integrated intelligent control.
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[1] 陈传彬, 陆锋, 励惠国, 等. 城市路网信息融合的关键技术[J]. 地球信息科学学报, 2009, 11 (4): 520-525. doi: 10.3969/j.issn.1560-8999.2009.04.016CHEN Chuan-bin, LU Feng, LI Hui-guo, et al. Discussion on information fusion technologies for city road network[J]. Journal of Geo-information Science, 2009, 11 (4): 520-525. (in Chinese). doi: 10.3969/j.issn.1560-8999.2009.04.016 [2] 王殿海, 祁宏生, 徐程. 交通可靠性研究综述[J]. 交通运输系统工程与信息, 2010, 10 (5): 12-21. doi: 10.3969/j.issn.1009-6744.2010.05.002WANG Dian-hai, QI Hong-sheng, XU Cheng. Reviewing traffic reliability research[J]. Journal of Transportation Systems Engineering and Information Technology, 2010, 10 (5): 12-21. (in Chinese). doi: 10.3969/j.issn.1009-6744.2010.05.002 [3] WAKABAYASHI H, IIDA Y. Upper and low bounds of terminal reliability of road networks: an efficient method with Boolean algebra[J]. Journal of Natural Disaster Science, 1992, 14 (1): 29-44. [4] CHEN A, YANG H, LO H K, et al. A capacity related reliability for transportation networks[J]. Journal of Advanced Transportation, 1999, 33 (2): 183-200. doi: 10.1002/atr.5670330207 [5] CHEN A, YANG H, LO H K, et al. Capacity reliability of a road network: an assessment methodology and numerical results[J]. Transportation Research Part B: Methodological, 2002, 36 (3): 225-252. doi: 10.1016/S0191-2615(00)00048-5 [6] SANCHEZ-SILVA M, DANIELS M, LLERAS G, et al. A transport network reliability model for the efficient assignment of resources[J]. Transportation Research Part B: Methodological, 2005, 39 (1): 47-63. doi: 10.1016/j.trb.2004.03.002 [7] CLARK S, WALTING D. Modelling network travel time reliability under stochastic demand[J]. Transportation Research Part B: Methodological, 2005, 39 (2): 119-140. doi: 10.1016/j.trb.2003.10.006 [8] SCOOT D M, NOVAK D C, AULTMAN-HALL L, et al. Network robustness index: a new method for identifying critical links and evaluating the performance of transportation networks[J]. Journal of Transport Geography, 2006, 14 (3): 215-227. doi: 10.1016/j.jtrangeo.2005.10.003 [9] LO H K, LUO X W, SIU B W Y. Degradable transport network: travel time budget of travelers with heterogeneous risk aversion[J]. Transportation Research Part B: Methodological, 2006, 40 (9): 792-806. doi: 10.1016/j.trb.2005.10.003 [10] SIU B W Y, LO H K. Doubly uncertain transportation network: degradable capacity and stochastic demand[J]. European Journal of Operational Research, 2008, 191 (1): 166-181. doi: 10.1016/j.ejor.2007.08.026 [11] CHEN A, KASIKITWIWAT P, YANG C. Alternate capacity reliability measures for transportation networks[J]. Journal of Advanced Transportation, 2013, 47 (1): 79-104. doi: 10.1002/atr.216 [12] RECKER W, CHUNG Y, PARK J, et al. Considering risktaking behavior in travel time reliability[R]. Berkeley: University of California, 2005. [13] CHEN A, OH J S, PARK D, et al. Solving the bicriteria traffic equilibrium problem with variable demand and nonlinear path costs[J]. Applied Mathematics and Computation, 2010, 217 (7): 3020-3031. doi: 10.1016/j.amc.2010.08.035 [14] BASU D, MAITRA B. Valuing attributes of enhanced traffic information: an experience in Kolkata[J]. Transport, 2007, 22 (3): 164-173. doi: 10.3846/16484142.2007.9638120 [15] DAUNORAS J, BAGDONAS V, GARGASAS V. City transport monitoring and routes optimal management system[J]. Transport, 2008, 23 (2): 144-149. doi: 10.3846/1648-4142.2008.23.144-149 [16] CRAINIC T G, GENDREAU M, POTVIN J Y. Intelligent freight-transportation systems: assessment and the contribution of operations research[J]. Transportation Research Part C: Emerging Technologies, 2009, 17 (6): 541-557. doi: 10.1016/j.trc.2008.07.002 [17] FRIESR N, GAHROOEI M R, CHOWDHURY M, et al. Meeting privacy challenges while advancing intelligent transportation systems[J]. Transportation Research Part C: Emerging Technologies, 2012, 25 (6): 34-45. [18] TAYLOR M A P. Critical transport infrastructure in urban areas: impacts of traffic incidents assessed using accessibilitybased network vulnerability analysis[J]. Growth and Change, 2008, 39 (4): 593-616. doi: 10.1111/j.1468-2257.2008.00448.x [19] JENELIUS E. Network structure and travel patterns: explaining the geographical disparities of road network vulnerability[J]. Journal of Transport Geography, 2009, 17 (3): 234-244. doi: 10.1016/j.jtrangeo.2008.06.002 [20] CHEN A, YANG C, KONGSOMSAKSAKUL S, et al. Network-based accessibility measures for vulnerability analysis of degradable transportation networks[J]. Networks and Spatial Economics, 2007, 7 (3): 241-256. doi: 10.1007/s11067-006-9012-5 [21] BELL M G H, KANTURSKA U, SCHMOCKER J D, et al. Attacker-defender models and road network vulnerability[J]. Philosophical Transactions of the Royal Society A: Mathematical Physical and Engineering Sciences, 2008, 366 (1872): 1893-1906. doi: 10.1098/rsta.2008.0019 [22] ERATH A, BIRDSALL J, AXHAUSEN K W, et al. Vulnerability assessment methodology for Swiss road network[J]. Transportation Research Record, 2009 (2137): 118-126. [23] BURSZTEIN E, GOUBAULT-LARRECQ J. A logical framework for evaluating network resilience against faults and attacks[J]. Lecture Notes in Computer Science, 2007 (4846): 212-227. [24] WANG Ding-wei, IP W H. Evaluation and analysis of logistic network resilience with application to aircraft servicing[J]. IEEE Systems Journal, 2009, 3 (2): 166-173. doi: 10.1109/JSYST.2009.2017395 [25] 汪定伟, 叶伟雄. 交通网络弹复度与易碎度的测算与分析[J]. 控制理论与应用, 2010, 27 (7): 849-854. https://www.cnki.com.cn/Article/CJFDTOTAL-KZLY201007005.htmWANG Ding-wei, YE Wei-xiong. Evaluation and analysis of resilience and frangibility for transportation networks[J]. Control Theory and Applications, 2010, 27 (7): 849-854. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-KZLY201007005.htm [26] SIMOES M L, RIBEIRO I M. Global optimization and complementarity for solving a semi-actuated traffic control problem[J]. Pocedia Social and Behavioral Sciences, 2011 (20): 390-397. [27] BIER V M, HAUSKEN K. Defending and attacking a network of two arcs subject to traffic congestion[J]. Reliability Engineering and System Safety, 2013 (112): 214-224. [28] JENELIUS E, MATTSSON L G. Road network vulnerability analysis of area-covering disruptions: agrid-based approach with case study[J]. Transportation Research Part A: Policy and Practice, 2012, 46 (5): 746-760. doi: 10.1016/j.tra.2012.02.003 [29] CHEN B Y, LAM W H K, SUMALEE A, et al. Vulnerability analysis for large-scale and congested road networks with demand uncertainty[J]. Transportation Research Part A: Policy and Practice, 2012, 46 (3): 501-516. doi: 10.1016/j.tra.2011.11.018 [30] TAYLOR M A P, SUSILAWATI S. Remoteness and accessibility in the vulnerability analysis of regional road networks[J]. Transportation Research Part A: Policy and Practice, 2012, 46 (5): 761-771. doi: 10.1016/j.tra.2012.02.008 [31] SHARIAT-MOHAYMANY A, BABAEI M. An approximate reliability evaluation method for improving transportation network performance[J]. Transport, 2010, 25 (2): 193-202. doi: 10.3846/transport.2010.24 [32] REHBORN H, KLENOV S L, PALMER J. An empirical study of common traffic congestion features based on traffic data measured in the USA, the UK, and Germany[J]. Physica A: Statistical Mechanics and Its Applications, 2011, 390 (23/24): 4466-4485. [33] MIDENET S, SAUNIER N, BOILLOT F. Exposure to lateral collision in signalized intersections with protected left turn under different traffic control strategies[J]. Accident Analysis and Prevention, 2011, 43 (6): 1968-1978. doi: 10.1016/j.aap.2011.05.015 [34] KURZHANSKIY A A, VARAIYA P. Guaranteed prediction and estimation of the state of a road network[J]. Transportation Research Part C: Emerging Technologies, 2012, 21 (1): 163-180. doi: 10.1016/j.trc.2011.08.007 [35] GUNTHER G, COEYMANS J E, MUNOZ J C, et al. Mitigating freeway off-ramp congestion: a surface streets coordinated approach[J]. Transportation Research C: Emerging Technologies, 2012, 20 (1): 112-125. doi: 10.1016/j.trc.2011.05.004 [36] DAVIS L C. Mitigation of congestion at a traffic bottleneck with diversion and lane restrictions[J]. Physica A: Statistical Mechanics and Its Applications, 2012, 391 (4): 1679-1691. doi: 10.1016/j.physa.2011.10.036 [37] HADDAD J, GEROLIMINIS N. On the stability of traffic perimeter control in two-region urban cities[J]. Transportation Research Part B: Methodological, 2012, 46 (9): 1159-1176. doi: 10.1016/j.trb.2012.04.004 [38] TSEKERIS T, GEROLIMINIS N. City size, network structure and traffic congestion[J]. Journal of Urban Economics, 2013 (76): 1-14. [39] 梁颖, 陈艳艳, 任福田. 不同交通供需分布下的路网畅通可靠度变化规律研究[J]. 公路交通科技, 2007, 24 (8): 103-109. doi: 10.3969/j.issn.1002-0268.2007.08.023LIANG Ying, CHEN Yan-yan, REN Fu-tian. Research on unblocked reliability of road network under different traffic demand and supply distribution[J]. Journal of Highway and Transportation Research and Development, 2007, 24 (8): 103-109. (in Chinese). doi: 10.3969/j.issn.1002-0268.2007.08.023 [40] 唐夕茹, 陈艳艳. 基于DYNASMART路网恢复可靠性研究[J]. 交通信息与安全, 2009, 27 (4): 97-100. doi: 10.3963/j.ISSN1674-4861.U.2009.04.023TANG Xi-ru, CHEN Yan-yan. Road network recovery reliability based on DYNASMART[J]. Journal of Transport Information and Safety, 2009, 27 (4): 97-100. (in Chinese). doi: 10.3963/j.ISSN1674-4861.U.2009.04.023 [41] 高爱霞, 陈艳艳. 异常事件下路网恢复可靠性研究[J]. 武汉理工大学学报: 交通科学与工程版, 2010, 34 (3): 517-519, 523. doi: 10.3963/j.issn.1006-2823.2010.03.022GAO Ai-xia, CHEN Yan-yan. Study of recovery reliability of road network during incident[J]. Journal of Wuhan University of Technology: Transportation Science and Engineering, 2010, 34 (3): 517-519, 523. (in Chinese). doi: 10.3963/j.issn.1006-2823.2010.03.022 [42] 王志强, 徐瑞华. 基于复杂网络的轨道交通路网可靠性仿真分析[J]. 系统仿真学报, 2009, 21 (20): 6670-6674. https://www.cnki.com.cn/Article/CJFDTOTAL-XTFZ200920079.htmWANG Zhi-qiang, XU Rui-hua. Reliability simulation analysis of urban rail transit networks based on complex network[J]. Journal of System Simulation, 2009, 21 (20): 6670-6674. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-XTFZ200920079.htm [43] 马寿峰, 贺正冰, 张思伟. 基于风险的交通网络可靠性分析方法[J]. 系统工程理论与实践, 2010, 30 (3): 550-556. https://www.cnki.com.cn/Article/CJFDTOTAL-XTLL201003026.htmMA Shou-feng, HE Zheng-bing, ZHANG Si-wei. Approach based on risk for traffic network reliability[J]. Systems Engineering—Theory and Practice, 2010, 30 (3): 550-556. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-XTLL201003026.htm [44] 王英杰, 陶世宁, 程琳. 交通网络连通可靠性评价方法研究[J]. 交通运输工程与信息学报, 2008, 6 (2): 102-106, 112. doi: 10.3969/j.issn.1672-4747.2008.02.018WANG Ying-jie, TAO Shi-ning, CHENG Lin. Research on the estimating connectivity reliability of transport networks[J]. Journal of Transportation Engineering and Information, 2008, 6 (2): 102-106, 112. (in Chinese). doi: 10.3969/j.issn.1672-4747.2008.02.018 [45] 郭志勇, 王炜. 基于行程时间可靠度的区域交通控制系统评价方法[J]. 东南大学学报: 自然科学版, 2010, 40 (4): 848-851. doi: 10.3969/j.issn.1001-0505.2010.04.035GUO Zhi-yong, WANG Wei. Area traffic control system evaluation method based on travel time reliability[J]. Journal of Southeast University: Natural Science Edition, 2010, 40 (4): 848-851. (in Chinese). doi: 10.3969/j.issn.1001-0505.2010.04.035 [46] 许良. 交通运输网络可靠性研究分析[J]. 中国安全科学学报, 2007, 17 (1): 135-140. doi: 10.3969/j.issn.1003-3033.2007.01.025XU Liang. Analysis and research on transportation network reliability[J]. China Safety Science Journal, 2007, 17 (1): 135-140. (in Chinese). doi: 10.3969/j.issn.1003-3033.2007.01.025 [47] 许良, 高自友. 基于出行时间可靠性的城市交通网络设计[J]. 系统仿真学报, 2008, 20 (2): 494-498. https://www.cnki.com.cn/Article/CJFDTOTAL-XTFZ200802054.htmXU Liang, GAO Zi-you. Urban transportation network design based on travel time reliability[J]. Journal of System Simulation, 2008, 20 (2): 494-498. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-XTFZ200802054.htm [48] ZHANG A M H, GAO Zi-you, REN Hua-ling. Incidentbased traffic congestion control strategy[J]. Science China Technological Sciences, 2011, 54 (5): 1338-1344. doi: 10.1007/s11431-011-4337-9 [49] 张雷, 李一兵. 冗余信息交通事故再现可靠性分析的综合模型法[J]. 交通运输工程学报, 2009, 9 (3): 98-102. doi: 10.3321/j.issn:1671-1637.2009.03.019ZHANG Lei, LI Yi-bing. Comprehensive-model method of reliablility analysis for traffic accident reconstruction with redundant information[J]. Journal of Traffic and Transportation Engineering, 2009, 9 (3): 98-102. (in Chinese). doi: 10.3321/j.issn:1671-1637.2009.03.019 [50] 段后利, 李志恒, 李力, 等. 一种基于伪色彩图的网络交通状态观测分析方法[J]. 交通运输系统工程与信息, 2009, 9 (4): 46-52. doi: 10.3969/j.issn.1009-6744.2009.04.008DUAN Hou-li, LI Zhi-heng, LI Li, et al. Network-wide traffic state observation and analysis method using pseudocolor map[J]. Journal of Transportation Systems Engineering and Information Technology, 2009, 9 (4): 46-52. (in Chinese). doi: 10.3969/j.issn.1009-6744.2009.04.008 [51] 全永燊, 郭继孚, 温慧敏, 等. 城市道路网运行实时动态评价理论和技术研究[J]. 中国工程科学, 2011, 13 (1): 43-48. doi: 10.3969/j.issn.1009-1742.2011.01.006QUAN Yong-shen, GUO Ji-fu, WEN Hui-min, et al. Realtime dynamic evaluation of urban network[J]. Engineering Science, 2011, 13 (1): 43-48. (in Chinese). doi: 10.3969/j.issn.1009-1742.2011.01.006 [52] QI Hong-sheng, WANG Dian-hai, SONG Xian-min. On the critical conditions of traffic jams[J]. Journal of Southeast University: English Editon, 2011, 27 (2): 180-184. [53] 周亮, 陆锋, 张恒才. 基于动态中介中心性的城市道路网实时分层方法[J]. 地球信息科学学报, 2012, 14 (3): 292-298. https://www.cnki.com.cn/Article/CJFDTOTAL-DQXX201203003.htmZHOU Liang, LU Feng, ZHANG Heng-cai. Time-dependent road network hierarchy based on dynamic betweenness centrality[J]. Journal of Geo-information Science, 2012, 14 (3): 292-298. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-DQXX201203003.htm [54] 杨忠振, 邬珊华, 罗红红, 等. 道路网单向交通优化设计模型[J]. 交通运输工程学报, 2012, 12 (5): 72-78. doi: 10.3969/j.issn.1671-1637.2012.05.010YANG Zhong-zhen, WU Shan-hua, LUO Hong-hong, et al. Optimization design model of one-way traffic for road network[J]. Journal of Traffic and Transportation Engineering, 2012, 12 (5): 72-78. (in Chinese). doi: 10.3969/j.issn.1671-1637.2012.05.010 [55] 董春娇, 邵春福, 马壮林, 等. 阻塞流状态下城市快速路交通流时空特性[J]. 交通运输工程学报, 2012, 12 (3): 73-79. doi: 10.3969/j.issn.1671-1637.2012.03.013DONG Chun-jiao, SHAO Chun-fu, MA Zhuang-lin, et al. Temporal-spacial characteristic of urban expressway under jam flow condition[J]. Journal of Traffic and Transportation Engineering, 2012, 12 (3): 73-79. (in Chinese). doi: 10.3969/j.issn.1671-1637.2012.03.013 [56] 黄大荣, 黄惠敏. 集成Spring和Aglets的远程数据库访问技术[J]. 计算机应用, 2011, 31 (2): 458-461. doi: 10.3969/j.issn.1001-3695.2011.02.013HUANG Da-rong, HUANG Hui-min. Access technology of remote database integrated spring and aglets[J]. Journal of Computer Applications, 2011, 31 (2): 458-461. (in Chinese). doi: 10.3969/j.issn.1001-3695.2011.02.013 [57] 李嫄嫄, 宋军, 黄大荣, 等. 车用自组网媒体访问控制机制改进[J]. 微电子学, 2011, 41 (3): 372-376, 380. https://www.cnki.com.cn/Article/CJFDTOTAL-MINI201103012.htmLI Yuan-yuan, SONG Jun, HUANG Da-rong, et al. Improvement on media access control mechanism of vehicular Ad-Hoc network[J]. Microelectronics, 2011, 41 (3): 372-376, 380. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-MINI201103012.htm [58] 李嫄嫄, 宋军, 金艳华, 等. 车用自组网节点主动通告跨层数据传输控制[J]. 计算机科学, 2011, 38 (6): 153-156. doi: 10.3969/j.issn.1002-137X.2011.06.036LI Yuan-yuan, SONG Jun, JIN Yan-hua, et al. Cross-layer data transmission control based on active notify of vehicular Ad-Hoc network node[J]. Computer Science, 2011, 38 (6): 153-156. (in Chinese). doi: 10.3969/j.issn.1002-137X.2011.06.036 [59] 赵玲, 黄大荣, 宋军. 路网交通亚健康状态下交通流的分形特性[J]. 控制工程, 2012, 19 (4): 583-586. doi: 10.3969/j.issn.1671-7848.2012.04.009ZHAO Ling, HUANG Da-rong, SONG Jun. Fractal characteristics of mountain cities'traffic flow with sub-health state[J]. Control Engineering of China, 2012, 19 (4): 583-586. (in Chinese). doi: 10.3969/j.issn.1671-7848.2012.04.009 [60] 黄大荣, 汪鹏. 网络系统"亚健康"状态的性能退化评估模型[J]. 南京航空航天大学学报, 2011, 43 (增1): 60-63. https://www.cnki.com.cn/Article/CJFDTOTAL-NJHK2011S1013.htmHUANG Da-rong, WANG Peng. Performance degradation evaluation model of subhealth network system[J]. Journal of Nanjing University of Aeronautics and Astronautics, 2011, 43 (S1): 60-63. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-NJHK2011S1013.htm [61] 黄大荣, 汪鹏, 朱波. 基于信息熵理论的网络化集群系统的可靠性分析[J]. 控制理论与应用, 2012, 29 (2): 177-182. https://www.cnki.com.cn/Article/CJFDTOTAL-KZLY201202008.htmHUANG Da-rong, WANG Peng, ZHU Bo. Reliability of networked-group systems based on information entropy[J]. Control Theory and Applications, 2012, 29 (2): 177-182. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-KZLY201202008.htm -
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