Model for Reducing Traffic Volume: Case Study of Belgrade, Serbia
Publication: Journal of Transportation Engineering
Volume 140, Issue 2
Abstract
Daily congestion on transportation networks is the one of the biggest problems that city authorities face. Different strategies for transportation-demand management have been developed with the aim to decrease existing negative traffic impacts. Available strategies are based on the use of accessible transportation infrastructure and have their own characteristics. In accordance with these specific characteristics, each strategy is more or less suitable for a particular transportation network. In this paper, the writers develop a model for the best strategy selection from transportation and drivers’ point-of-view. The model is based on the analytical network process, i.e., on the combination with the benefits, opportunities, costs, and risks (BOCR) merit approach, with consideration of BOCR. The approach addresses problems regarding the network structure, whereby the various criteria are relevant for the considered problem. The proposed model is applied and tested on real data collected in Belgrade, Serbia.
Get full access to this article
View all available purchase options and get full access to this article.
Acknowledgments
The research reported in this paper has been supported by the Serbian Ministry of Science and Technological Development, grant numbers TR36022 and TR36002. The writers thank the anonymous referees for the valuable suggestions that helped to significantly improve the presentation of the results described in this paper.
References
Azizi, M. (2005). “Decision making for raw material procurement in paper making factory.” Proc., Int. Symp. on the Analytic Heirarchy Process, Univ. of Hawaii, Honolulu, 1–11.
Blumenberg, E., and Smart, M. (2010). “Getting by with a little help from my friends and family: Immigrants and carpooling.” Transportation, 37(3), 429–446.
Boriboonsomsin, K., and Barth, M. (2008). “Impacts of freeway high-occupancy vehicle lane configuration on vehicle emissions.” Transport. Res. Transport. Environ., 13(2), 112–125.
Brownstone, D., and Golob, T. F. (1992). “The effectiveness of ridesharing incentives. Discrete choice models of commuting in southern California.” Reg. Sci. Urban Econ., 22(1), 5–24.
Cordeau, J. F., and Laporte, G. (2003). “A Tabu search heuristic for the static multi-vehicle dial-a-ride problem.” Transport. Res. Part B Methodol., 37(6), 579–594.
Cordeau, J. F., and Laporte, G. (2008). “The dial-a-ride problem (DARP): Variants, modeling issues and algorithms.” Q. J. Belgian French Italian Oper. Res. Soc., 1(2), 89–101.
Correia, G., and Viegas, J. M. (2011). “Carpooling and carpool clubs: Clarifying concepts and assessing value enhancement possibilities through a stated preference web survey in Lisbon, Portugal.” Transport. Res. Part A Pol. Prac., 45(2), 81–90.
Daganzo, C., and Cassidy, M. (2008). “Effects of high occupancy vehicle lanes on freeway congestion.” Transport. Res. Part B Methodol., 42(10), 861–872.
Dahlgren, J. (2002). “High-occupancy/toll lanes: Where should they be implemented?” Transport. Res. Part A. Pol. Prac., 36(3), 239–255.
Demirtas, A., and Üstün, O. (2008). “An integrated multiobjective decision-making process for supplier selection and order allocation.” Omega, 36(1), 76–90.
Faghri, A., Lang, A., Hamad, K., and Henck, H. (2002). “Integrated knowledge-based geographic information system for determining optimal location of park-and-ride facilities.” J. Urban Plann. Dev., 18–41.
Farhan, B., and Murray, A. (2008). “Siting park-and-ride facilities using a multi-objective spatial optimization model.” Comput. Oper. Res., 35(2), 445–456.
Fuhs, C., and Obenberge, J. (2007). “Development of high-occupancy vehicle facilities: Review of national trends.”, Transportation Research Board, Washington, DC, 1–9.
Han, D., and Yang, H. (2008). “The multi-class, multi-criterion traffic equilibrium and the efficiency of congestion pricing.” Transport. Res. Part E Logist. Transport. Rev., 44(5), 753–773.
Hou, H., Chen, Y., Hou, P., and Tzeng, G. (2010). “Application of multiple criteria decision making (MCDM) on high potential city bus routes in Taiwan.” J. Soc. Transport. Traffic Stud., 1(1), 26–35.
Ivanović, I., Grujičić, D., Macura, D., Bojović, N., and Jović, J. (2013). “One approach for road transport project selection.” Trans. Pol., 25(1), 22–29.
Jungme, P., et al. (2009). “Intelligent vehicle power control based on machine learning of optimal control parameters and prediction of road type and traffic congestion.” IEEE Trans. Vehi. Technol., 58(9), 4741–4756.
Kaszubowski, D. (2012). “Evaluation of urban freight transport management measures.” LogForum, 8(3), 217–229.
Koppelman, F. S., Bhat, C. R., and Schafer, J. L. (1993). “Market research evaluation of actions to reduce suburban traffic congestion: Commuter travel behavior and response to demand reduction actions.” Transport. Res. Part A Methodol., 27(5), 383–393.
Kwon, J., and Varaiya, P. (2008). “Effectiveness of California’s high occupancy vehicle (HOV) system.” Transport. Res. Part C Emerg. Tech., 16(1), 98–115.
Lee, A. (2009). “A fuzzy supplier selection model with the consideration of benefits, opportunities, costs and risks.” Expert Syst. Appl., 36(2), 2879–2893.
Nam, D., and Drew, D. (1998). “Analyzing freeway traffic under congestion: Traffic dynamics approach.” J. Transp. Eng., 208–212.
Parkhurst, G. (1995). “Park and ride: Could it lead to an increase in car traffic?” Transport Pol., 2(1), 15–23.
Parking Service Belgrade. (2013). “Park and cycle.” 〈http://www.parkingservis.co.rs/en/parking_facilities/park_and_cycle〉 (Nov. 9, 2013).
Parragh, S., Doernera, K., and Richard, F. (2010). “Variable neighborhood search for the dial-a-ride problem.” Comput. Oper. Res., 37(6), 1129–1138.
Piantanakulchai, M. (2005). “Analytic network process model for highway corridor planning.” Proc., Int. Symp. on the Analytic Hierarchy Process, Univ. of Hawaii, Honolulu, 1–10.
Quddus, M., Wang, C., and Ison, S. (2010). “Road traffic congestion and crash severity: Econometric analysis using ordered response models.” J. Transp. Eng., 424–435.
Rajagopalan, S., and Hung-Liang, Y. (2001). “Capacity planning with congestion effects.” Eur. J. Oper. Res., 134(2), 365–377.
Roberg, P., and Abbess, C. R. (1998). “Diagnosis and treatment of congestion in central urban areas.” Eur. J. Oper. Res., 104(1), 218–230.
Saaty, T. (1996). Decision making with dependence and feedback: The analytic network process, RWS Publications, Pittsburgh.
Saaty, T., and Vargas, L. (2006). Decision making with analytic network process: Economic, political, social and technological applications with benefits, opportunities, costs and risks, Vol. 95, Springer, Amsterdam, Netherlands.
Šelmić, M., Macura, D., and Teodorović, D. (2012). “Ride matching using K-means method: Case study of Gazela Bridge in Belgrade, Serbia.” J. Transp. Eng., 132–140.
Super Decision 2.2 [Computer software]. Creative Decisions Foundation, Pittsburgh.
Teodorović, D., and Dell’Orco, M. (2008). “Mitigating traffic congestion: Solving the ride-matching problem by bee colony optimization.” Transport. Plann. Tech., 31(2), 135–152.
Teodorović, D., and Edara, P. (2005). “Highway space inventory control system.” Transportation and traffic theory: Flow, dynamics and human interaction, H. Mahmassani, ed., Elsevier, Amsterdam, Netherlands, 43–62.
Topcu, Y. I., and Onar, S. C. (2011). “A multi-criteria decision model for urban mass transit systems.” Proc., Int. Conf. on Computers and Industrial Engineering, Elsevier, Amsterdam, Netherlands, 860–865.
Uesugi, K., Mukai, N., and Watanabe, T. (2007). “Optimization of vehicle assignment for car sharing system.” Knowledge-based intelligent information and engineering systems, Springer, Berlin, 1105–1111.
Victoria Transport Policy Institute. (2013). “Online TDM encyclopedia.” 〈http://www.vtpi.org/tdm〉 (Nov. 9, 2013).
Wei, J. (2008). “Application of ANP in production line selection–A case study for ERP sand table simulation evaluation.” Proc., Cybernetics and Intelligent Systems, IEEE, New York, 1115–1118.
Wu, Y. H. (2007). “Agent behavior in peer-to-peer shared ride systems.” M.S. thesis, Univ. of Melbourne, Melbourne, Australia.
Yang, H., and Huang, H. J. (1999). “Carpooling and congestion pricing in a multilane highway with high-occupancy-vehicle lanes.” Transport. Res. Part A Pol. Prac., 33(2), 139–155.
Information & Authors
Information
Published In
Journal of Transportation Engineering
Volume 140 • Issue 2 • February 2014
Copyright
© 2013 American Society of Civil Engineers.
History
Received: Jun 16, 2013
Accepted: Oct 21, 2013
Published online: Nov 27, 2013
Published in print: Feb 1, 2014
Discussion open until: Apr 27, 2014
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.