Abstract
Tolling has been one of the most effective countermeasures against traffic congestion in metropolitan areas. Prior to the implementation of a tolling strategy, it was necessary to systematically evaluate the toll impacts on the transportation network. Microscopic simulation has been widely utilized as an evaluation tool in many traffic operation studies and practice. Most simulation tools on today’s market, however, do not carry the functionality needed for customized toll-strategy assessment with the built-in modules. With the booming adoption of congestion pricing nationwide, it is highly desirable to enable simulation-based evaluation of various tolling strategies through external module development for widely-used simulation tools. This paper presents an innovative method for developing highly customized tolling strategy simulation through external routing modules compatible with a widely-used simulation tool. Using a publicly-available module, customized tolling schemes and routing algorithms can be implemented in the simulation tool. The method is demonstrated using the SR-520 toll bridge in Puget Sound as a test. The simulation results indicate that the developed module can effectively assess the impact of a variety of tolling schemes by determining travelers’ routing decisions in real-time. The network-wide tolling impacts on link volume, travel speed, and emissions are evaluated in this study. The proposed method facilitates the understanding of key factors that would affect travelers’ route choice and has great potential in tolling-strategy evaluation for transportation networks.
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Acknowledgments
The authors would like to appreciate the partial funding support from National Natural Science Foundation of China (Project 51138003).
References
AIMSUN 8.1 [Computer software]. TSS-Transport Simulation Systems, New York.
Barceló, J., and Casas, J. (2002). “Heuristic dynamic assignment based on microscopic traffic simulation.” 9th Meeting of the Euro Working Group on Transportation, Euro Working Group on Transportation (EWGT), Italy, 1–16.
Baur, M., and Fullerton, M. (2010). “Realizing an effective and flexible ITS evaluation strategy through modular and multi-scaled traffic simulation.” IEEE Intell. Transp. Syst. Mag., 2(3), 34–42.
Choa, F., Milam, R. T., and Stanek, D. (2002). “CORSIM, PARAMICS, and VISSIM: What the manuals never told you.” Proc., 9th TRB Conf. on the Application of Transportation Planning Methods, Transportation Research Board, Washington, DC.
Chu, L., Liu, H. X., and Recker, W. (2004). “Using microsopic simulation to evaluate potential intelligent transportation system strategies under nonrecurrent congestion.” J. Transp. Res. Board, 1886, 76–84.
CORSIM 6.2 [Computer software]. FHWA, Washington, DC.
Dial, R. (1971). “A probabilistic multipath traffic assignment algorithm which obviates path enumeration.” Transp. Res., 5(2), 83–111.
Dong, J., Mahmassani, H. S., Erdoğan, S., and Lu, C.-C. (2011). “State-dependent pricing for real-time freeway management: Anticipatory versus reactive strategies.” Transp. Res. Part C: Emerging Technol., 19(4), 644–657.
Gao, S., and Chabini, I. (2006). “Optimal routing policy problems in stochastic time-dependent networks.” Transp. Res. Part B: Methodol., 40(2), 93–122.
Gomes, G., May, A., and Horowitz, R. (2004). “Congested freeway microsimulation model using VISSIM.” J. Transp. Res. Board, 1876, 71–81.
Halkias, B., Kopelias, P., Papandreou, K., Politou, A., Prevedouros, P., and Skabardonis, A. (2007). “Freeway bottleneck simulation, implementation, and evaluation.” J. Transp. Res. Board, 2012, 84–93.
Hall, R. W. (1986). “The fastest path through a network with random time-dependent travel times.” INFORMS, Catonsville, MD.
Hidas, P. (2005). “A functional evaluation of of the AIMSUN, PARAMICS, and VISSIM microsimulation models.” Road Transp. Res., 14(4), 45–49.
INTEGRATION 2.40 [Computer software]. M. Aerde and Associates, Blacksburg, VA.
Lelewski, A. R., Berenis, J. A., and Pressimone, G. M. (2003). “Analyzing express toll plaza operations using modern simulation models.” Transportation Research Board Annual Meeting CD, Transportation Research Board, Washington, DC.
Lindsey, R. (2005). “Recent developments and current policy issues in road pricing in the U.S. and Canada.” Eur. Transp., 31, 46–66.
Liu, H. X., Ban, J. X., and Mirchandani, P. (2005). “Dynamic equilibrium assignment with microscopic traffic simulation.” Proc., 2005 IEEE Intelligent Transportation Systems, IEEE, CA, 676–681.
Ma, X., Wu, Y.-J., and Wang, Y. (2011). “DRIVE net: E-science transportation platform for data sharing, visualization, modeling, and analysis.” J. Transp. Res. Board, 2215, 37–49.
Ozbay, K., Mudigonda, S., and Bartin, B. (2005). “Development and calibration of an integrated freeway and toll plaza model for New Jersey turnpike using paramics microscopic simulation tool.” Proc., 2005 IEEE Intelligent Transportation Systems, IEEE, CA, 1165–1170.
PARAMICS [Computer software]. SIAS, Edinburgh, U.K.
PTV-Vision. (2011a). VISSIM 5.30-05 COM interface manual, Planung Transport Verkehr AG, Germany.
PTV-Vision. (2011b). VISSIM 5.30-05 user manual, Planung Transport Verkehr AG, Germany.
Schrank, D., Eisele, B., and Lomax, T. (2012). “TTI’s 2012 urban mobility report.” Texas A&M Transportation Institute, College Station, TX, 1–64.
Stone, C. J., Dye, D., Hammond, P., and Reinmuth, S. (2012). “WSDOT toll division update.” Washington State Transportation Commission Olympia, Olympia, WA.
Tsekeris, T., and Voß, S. (2008). “Design and evaluation of road pricing: State-of-the-art and methodological advances.” NETNOMICS: Econ. Res. Electron. Networking, 10(1), 5–52.
Vickrey, W. S. (1969). “Congestion theory and transport investment.” Am. Econ. Rev., 59(2), 251–260.
VISSIM 5.30-05 [Computer software]. PTV, Planung Transport Verkehr AG, Germany.
Wiedemann, R. (1991). “Modeling of RTI-elements on multi-lane roads.” Advanced Telematics in Road Transport, Proc., DRIVE Conf., Vol. II, Elsevier, New York, 1007–1019.
WSDOT (Washington State Department of Transport). (2010). “Peak hour report 2010.” Seattle.
WSDOT (Washington State Department of Transport). (2011). “SR 520 bridge toll rates.” Seattle.
Zhang, G., Wang, Y., Wei, H., and Yi, P. (2008). “A feedback-based dynamic tolling algorithm for high-occupancy toll lane operations.” J. Transp. Res. Board, 2065(-1), 54–63.
Zhang, G., Yan, S., and Wang, Y. (2009). “Simulation-based investigation on high-occupancy toll lane operations for Washington State route 167.” J. Transp. Eng., 677–686.
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Published In
Journal of Transportation Engineering
Volume 142 • Issue 2 • February 2016
Copyright
© 2015 American Society of Civil Engineers.
History
Received: Dec 24, 2013
Accepted: Aug 13, 2015
Published online: Oct 26, 2015
Published in print: Feb 1, 2016
Discussion open until: Mar 26, 2016
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