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Volume 5 Issue 5
Aug.  2018

IEEE/CAA Journal of Automatica Sinica

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Liang Qi, Mengchu Zhou and Wenjing Luan, "A Dynamic Road Incident Information Delivery Strategy to Reduce Urban Traffic Congestion," IEEE/CAA J. Autom. Sinica, vol. 5, no. 5, pp. 934-945, Sept. 2018. doi: 10.1109/JAS.2018.7511165
Citation: Liang Qi, Mengchu Zhou and Wenjing Luan, "A Dynamic Road Incident Information Delivery Strategy to Reduce Urban Traffic Congestion," IEEE/CAA J. Autom. Sinica, vol. 5, no. 5, pp. 934-945, Sept. 2018. doi: 10.1109/JAS.2018.7511165

A Dynamic Road Incident Information Delivery Strategy to Reduce Urban Traffic Congestion

doi: 10.1109/JAS.2018.7511165
Funds:

the National Natural Science Foundation of China 61374148

More Information
  • Advanced information and communication technologies can be used to facilitate traffic incident management. If an incident is detected and blocks a road link, in order to reduce the incident-induced traffic congestion, a dynamic strategy to deliver incident information to selected drivers and help them make detours in urban areas is proposed by this work. Time-dependent shortest path algorithms are used to generate a subnetwork where vehicles should receive such information. A simulation approach based on an extended cell transmission model is used to describe traffic flow in urban networks where path information and traffic flow at downstream road links are well modeled. Simulation results reveal the influences of some major parameters of an incident-induced congestion dissipation process such as the ratio of route-changing vehicles to the total vehicles, operation time interval of the proposed strategy, traffic density in the traffic network, and the scope of the area where traffic incident information is delivered. The results can be used to improve the state of the art in preventing urban road traffic congestion caused by incidents.

     

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  • [1]
    P. B. Farradyne, Traffic Incident Management Handbook. Washington, DC: Office of Travel Management, Federal Highway Administration, 2000.
    [2]
    K. Ozbay and P. Kachroo, Incident Management in Intelligent Transportation Systems. Norwood, MA: Artech House Publishers, 1999.
    [3]
    M. Jha, D. Cuneo, and M. Ben-Akiva, "Evaluation of freeway lane control for incident management, " J. Transp. Eng., vol. 125, no. 6, pp. 495-501, Nov. -Dec. 1999.
    [4]
    P. W. Lin, K. P. Kang, and G. L. Chang, "Exploring the effectiveness of variable speed limit controls on highway work-zone operations, " J. Intell. Transp. Syst., vol. 8, no. 3, pp. 155-168, 2004. doi: 10.1080/15472450490492851
    [5]
    J. B. Sheu and M. S. Chang, "Stochastic optimal-control approach to automatic incident-responsive coordinated ramp control, " IEEE Trans. Intell. Transp. Syst., vol. 8, no. 2, pp. 359-367, Jun. 2007. http://ieeexplore.ieee.org/document/4220665/
    [6]
    F. -Y. Wang, N. -N. Zheng, D. P. Cao, C. M. Martinez, L. Li, and T. Liu, "Parallel driving in CPSS: a unified approach for transport automation and vehicle intelligence, " IEEE/CAA J. of Autom. Sinica, vol. 4, no. 4, pp. 577-587, Oct. 2017. http://ieeexplore.ieee.org/document/8039015/
    [7]
    G. Xiong, F. H. Zhu, X. W. Liu, X. S. Dong, W. L. Huang, S. H. Chen, and K. Zhao, "Cyber-physical-social system in intelligent transportation, " IEEE/CAA J. of Autom. Sinica, vol. 2, no. 3, pp. 320- 333, Jul. 2015. http://ieeexplore.ieee.org/document/7152667/
    [8]
    F. -Y. Wang, "Parallel control and management for intelligent transportation systems: concepts, architectures, and applications, " IEEE Trans. Intell. Transp. Syst., vol. 11, no. 3, pp. 630-638, Sep. 2010. http://ieeexplore.ieee.org/document/5549912/
    [9]
    M. Papageorgiou, C. Diakaki, V. Dinopoulou, A. Kotsialos, and Y. B. Wang, "Review of road traffic control strategies, " Proc. IEEE, vol. 91, no. 12, pp. 2043-2067, Dec. 2003.
    [10]
    S. Zhao, Y. M. Chen, and J. A. Farrell, "High-precision vehicle navigation in urban environments using an MEM's IMU and single-frequency GPS receiver, " IEEE Trans. Intell. Transp. Syst. , vol. 17, no. 10, pp. 2854-2867, Apr. 2016. http://ieeexplore.ieee.org/document/7447761/
    [11]
    Y. C. Chiua and N. Huynhb, "Location configuration design for dynamic message signs under stochastic incident and ATIS scenarios, " Transp. Res. C: Emerg. Technol. , vol. 15, no. 1, pp. 33-50, Feb. 2007. https://www.sciencedirect.com/science/article/pii/S0968090X0600101X
    [12]
    C. A. Williams, "A data mining approach to rapidly learning traveler activity patterns for mobile applications, " Ph. D. dissertation, Dept. Comp. Sci., Univ. Illinois at Chicago, Chicago, USA, 2010.
    [13]
    C. Wright and P. Roberg, "The conceptual structure of traffic jams, " Transp. Policy, vol. 5, no. 1, pp. 23-35, Jan. 1998.
    [14]
    P. O. Roberg, C. Abbess, and C. Wright, "Traffic jam simulation, " J. Maps, vol. 3, no. 1, pp. 107-121, 2007. doi: 10.1080/jom.2007.9710832
    [15]
    J. C. Long, Z. Y. Gao, P. Orenstein, and H. L. Ren, "Control strategies for dispersing incident-based traffic jams in two-way grid networks, " IEEE Trans. Intell. Transp. Syst. , vol. 13, no. 2, pp. 469-481, Oct. 2012. http://ieeexplore.ieee.org/document/6064894/
    [16]
    J. C. Long, Z. Y. Gao, X. M. Zhao, A. P. Lian, and P. Orenstein, "Urban traffic jam simulation based on the cell transmission model, " Netw. Spat. Econ. , vol. 11, no. 1, pp. 43-64, Mar. 2011.
    [17]
    L. Qi, M. C. Zhou, and W. J. Luan, "Emergency traffic-light control system design for intersections subject to accidents, " IEEE Trans. Intell. Transp. Syst. , vol. 17, no. 1, pp. 170-183, Jan. 2016. http://ieeexplore.ieee.org/document/7268911/
    [18]
    L. Qi, M. C. Zhou, and W. J. Luan, "A two-level traffic light control strategy for preventing incident-based urban traffic congestion, " IEEE Trans. Intell. Transp. Syst., vol. 19, no. 1, pp. 13-24, Jan. 2018. http://ieeexplore.ieee.org/document/7802596/
    [19]
    P. Roberg, "A distributed strategy for eliminating incident-based traffic jams from urban networks, " Traffic Eng. Control, vol. 36, no. 6, pp. 348-354, Jun. 1995.
    [20]
    Y. S. Huang, Y. S. Wen, W. M. Wu, and B. Y. Chen, "Control strategies for solving the problem of traffic congestion, " IET Intell. Transp. Syst., vol. 10, no. 10, pp. 642-648, 2016. doi: 10.1049/iet-its.2016.0003
    [21]
    Y. S. Huang, W. P. Huang, and W. P. Wu, "Analysis of urban traffic jam control strategies using simulation technology, " in Proc. 13th IEEE Int. Conf. Networking, Sensing, Control, Mexico City, Mexico, 2016, pp. 1-6.
    [22]
    W. Y. Szeto and S. C. Wong, "Dynamic traffic assignment: model classifications and recent advances in travel choice principles, " Central Eur. J. Eng. , vol. 2, no. 1. pp. 1-18, Mar. 2012. doi: 10.2478%2Fs13531-011-0057-y
    [23]
    W. Y. Szeto, "Dynamic traffic assignment: formulations, properties, and extensions, " Ph. D. dissertation, The Hong Kong Univ. Sci. Technol., China, 2003.
    [24]
    C. G. Chorus, E. J. E. Molin, and B. van Wee, "Use and effects of advanced traveller information services (ATIS): a review of the literature, " Transp. Rev., vol. 26, no. 2, pp. 127-149, 2006. doi: 10.1080/01441640500333677
    [25]
    H. S. Mahmassani, "Dynamic network traffic assignment and simulation methodology for advanced system management applications, " Netw. Spat. Econ., vol. 1, no. 3-4, pp. 267-292, Sep. 2001.
    [26]
    Y. Tian and Y. C. Chiu, "A variable time-discretization strategies-based, time-dependent shortest path algorithm for dynamic traffic assignment, " J. Intell.Transp. Syst., vol. 18, no. 4, pp. 339-351, 2014. doi: 10.1080/15472450.2013.806753
    [27]
    Y. Q. Jiang, S. C. Wong, H. W. Ho, P. Zhang, R. X. Liu, and A. Sumalee, "A dynamic traffic assignment model for a continuum transportation system, " Transp. Res. B: Methodol. , vol. 45, no. 2, pp. 343-363, Feb. 2011.
    [28]
    W. Y. Szeto and H. K. Lo, "Dynamic traffic assignment: properties and extensions, " Transportmetrica, vol. 2, no. 1, pp. 31-52, 2006. doi: 10.1080/18128600608685654
    [29]
    S. T. Waller, D. Fajardo, M. Duell, and V. Dixit, "Linear programming formulation for strategic dynamic traffic assignment, " Netw. Spat. Econ. , vol. 13, no. 4, pp. 427-443, Dec. 2013. https://utexas.influuent.utsystem.edu/en/publications/linear-programming-formulation-for-strategic-dynamic-traffic-assi
    [30]
    B. Ran, D. E. Boyce, and L. J. Leblanc, "A new class of instantaneous dynamic user-optimal traffic assignment models, " Oper. Res. , vol. 41, no. 1, pp. 192-202, Feb. 1993. https://dl.acm.org/citation.cfm?id=154555.152083
    [31]
    B. Ran and D. Boyce, Modeling Dynamic Transportation Networks: An Intelligent Transportation System Oriented Approach. Heidelberg, Germany: Springer, 1996.
    [32]
    X. G. Ban, H. X. Liu, M. C. Ferris, and B. Ran, "A link-node complementarity model and solution algorithm for dynamic user equilibria with exact flow propagations, " Transp. Res. B: Methodol. , vol. 42, no. 9, pp. 823-842, Nov. 2008.
    [33]
    G. N. Bifulco, G. E. Cantarella, F. Simonelli, and P. Veloná, "Advanced traveller information systems under recurrent traffic conditions: network equilibrium and stability, " Transp. Res. B: Methodol. , vol. 92, pp. 73- 87, Oct. 2016.
    [34]
    R. H. M. Emmerink, K. W. Axhausen, P. Nijkamp, and P. Rietveld, "The potential of information provision in a simulated road transport network with non-recurrent congestion, " Transp. Res. C: Emerg. Technol. , vol. 3, no. 5, pp. 293-309, Oct. 1995. https://www.sciencedirect.com/science/article/pii/0968090X95000128
    [35]
    C. F. Daganzo, "The cell transmission model, part Ⅱ: network traffic, " Transp. Res. B: Methodol., vol. 29, no. 2, pp. 79-93, Apr. 1995.
    [36]
    M. J. Lighthill and G. B. Whitman, "On kinematic waves Ⅱ: a theory of traffic flow on long crowded roads, " Proc. Roy. Soc. London Series A: Math. Phys. Eng. Sci., vol. 229, no. 1178, 1955, pp. 317-345. http://amath.colorado.edu/sites/default/files/2013/09/81806977/PRSA_Lighthill_1955.pdf
    [37]
    P. I. Richards, "Shock waves on the highway, " Oper. Res., vol. 4, no. 1, pp. 42-51, Feb. 1956.
    [38]
    S. V. Ukkusuri, L. S. Han, and K. Doan, "Dynamic user equilibrium with a path based cell transmission model for general traffic networks, " Transp. Res. B: Methodol., vol. 46, no. 10, pp. 1657-1684, Dec. 2012. https://trid.trb.org/view/1237995
    [39]
    H. K. Lo, "A cell-based traffic control formulation: strategies and benefits of dynamic timing plans, " Transp. Sci., vol. 35, no. 2, pp. 148- 164, May 2001.
    [40]
    E. Almasri and B. Friedrich, "Online offset optimisation in urban networks based on cell transmission model, " in Proc. 2005 European Congress and Exhibition on Intelligent Transport Systems and Services, Hannover, Gernamy, 2005, pp. 1-12.
    [41]
    Y. Pavlis and W. Recker, "A mathematical logic approach for the transformation of the linear conditional piecewise functions of dispersionand-store and cell transmission traffic flow models into linear mixedinteger form, " Transp. Sci. , vol. 43, no. 1, pp. 98-116, Feb. 2009. doi: 10.1287/trsc.1080.0254
    [42]
    X. T. Sun, L. Munoz, and R. Horowitz, "Highway traffic state estimation using improved mixture Kalman filters for effective ramp metering control, " in Proc. 42nd IEEE Int. Conf. Decision and Control, Maui, HI, USA, 2003, pp. 6333-6338.
    [43]
    G. Gomes, R. Horowitz, A. A. Kurzhanskiy, P. Varaiya, and J. Kwon, "Behavior of the cell transmission model and effectiveness of ramp metering, " Transp. Res. C: Emerg. Technol. , vol. 16, no. 4, pp. 485-513, Aug. 2008.
    [44]
    L. Munoz, X. T. Sun, R. Horowitz, and L. Alvarez, "Traffic density estimation with the cell transmission model, " in Proc. 2003 IEEE American Control Conf. , Denver, CO, USA, pp. 3750-3755.
    [45]
    K. Staňková and B. De Schutter, "On freeway traffic density estimation for a jump Markov linear model based on Daganzo's cell transmission model, " in Proc. 13th Int. IEEE Conf. Intelligent Transportation Systems, Funchal, Portugal, 2010, pp. 13-18.
    [46]
    S. Timotheou, C. Panayiotou, and M. Polycarpou, "Fault-adaptive traffic density estimation for the asymmetric cell transmission model, " in Proc. 18th IEEE Int. Conf. Intelligent Transportation Systems, Las Palmas, Spain, 2015, pp. 2855-2860. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7313551
    [47]
    H. B. Celikoglu, "Dynamic classification of traffic flow patterns simulated by a switching multimode discrete cell transmission model, " IEEE Trans. Intell. Transp. Syst. , vol. 15, no. 6, pp. 2539-2550, Dec. 2014. http://ieeexplore.ieee.org/document/6814951/
    [48]
    D. B. West, Introduction to Graph Theory. Upper Saddle River, NJ, USA: Prentice Hall, 1996.

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