Volume 13 Issue 5
. 
Turn off MathJax
Article Contents
Article Navigation >  Journal of Traffic and Transportation Engineering  > 2013  >  13(5): 105-114
Next Previous
HUANG Da-rong, SONG Jun, LI Shu-qing, XIANG Hong-yan. Control technology review of traffic congestion in urban road network under networked dynamic scheduling and control[J]. Journal of Traffic and Transportation Engineering, 2013, 13(5): 105-114.
Citation: HUANG Da-rong, SONG Jun, LI Shu-qing, XIANG Hong-yan. Control technology review of traffic congestion in urban road network under networked dynamic scheduling and control[J]. Journal of Traffic and Transportation Engineering, 2013, 13(5): 105-114.
shu

Control technology review of traffic congestion in urban road network under networked dynamic scheduling and control

  • 1.

    School of Information Science and Engineering, Chongqing Jiaotong University, Chongqing 400074, China

  • 2.

    School of Traffic and Transportation, Chongqing Jiaotong University, Chongqing 400074, China

More Information
  • Author Bio:

    HUANG Da-rong(1978-), male, professor, PhD, +86-23-62652751, hcx1978@163.com

  • Received Date: 2013-04-25
  • Publish Date: 2013-10-25
    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.

     

    • FullText(HTML)
  • loading
    • References(61)
  • [1]
    CHEN 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]
    WANG 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]
    WANG 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]
    LIANG 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]
    TANG 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]
    GAO 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]
    WANG 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]
    MA 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]
    WANG 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]
    GUO 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]
    XU 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]
    XU 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]
    ZHANG 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]
    DUAN 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]
    QUAN 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]
    ZHOU 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]
    YANG 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]
    DONG 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]
    HUANG 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]
    LI 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]
    LI 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]
    ZHAO 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]
    HUANG 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]
    HUANG 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
    • Relative Articles
    • Supplements(0)
    • Cited By

Catalog

    Get Citation
    PDF
    XML

    Article Metrics

    Article views (950) PDF downloads(1194) Cited by()
    Related

    Copyright《Journal of Traffic and Transportation Engineering》编辑部陕ICP备05001904号-1

    Address ：Editorial Department of Journal of Traffic and Transportation Engineering, Chang 'an University, Middle Section of South Second Ring Road, Xi 'an, Shaanxi（710064） Tel：029-82334388 Email：jygc@chd.edu.cn

    All visit:Today's visit:

    Supported by: Beijing Renhe Information Technology Co. Ltd    

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return