Simulation of Route Direction Reconfiguration for Traffic Management in Medium-Sized Cities (Case Study: Central District of Yazd)

Document Type : Research Paper


1 Ph.D. candidate, Department of Civil Engineering, faculty of civil and earth resources engineering, Centeral Tehran Branch, Islamic Azad University, Tehran, Iran.

2 Professor, Department of Civil and Environmental Engineering, Tarbiat Modares University, Tehran, Iran

3 Associate Professor, Dept. of Technical and Engineering, Karaj Branch, Islamic Azad University, Alborz, Iran.

4 Ph.D. candidate, School of Civil Engineering, Iran University of Science and Technology, Narmak, Tehran, Iran.


One way to change the allocation of road resources to traffic demand is to convert two-way roads into one-way streets. This conversion can be done for a variety of reasons such as insufficient street width for two-way traffic, reducing delay at intersections, increasing safety and reducing congestion. In the city of Yazd, the urban road network has very few one-way thoroughfares and its traffic flow directions have not been optimally configured to solve the traffic problems of this city. Converting two-way streets into one-way routes may therefore serve as a means of better traffic management in the central district of this city. In this research, after a review of the literature, the physical and traffic characteristics of main roads in the central district of Yazd were investigated through a field study in order to identify the two-way roads that are technically and practically eligible for conversion into one-way. The results of the field study, which were obtained from 78 data collection stations, were then used to build a simulation model in the Aimsun software. The network was then calibrated and prepared for the execution of the scenarios. The results indicated that as long as the number of trips ending in or passing through the area remains the same, these streets cannot be made one-way and All scenarios have worse results than the current situation.
Finally, the proposed scenarios were re-simulated with the assumption of a 30% decrease in travel demand in the area.
It was found that scenario 6 offers better outcomes than other options and it is practically impossible to make the streets one-way without reducing the demand for private transport.


- Broaddus, A., Litman, T. and Menon, G.(2009), “Transportation demand management”, Water, energy and transport, Vol. 44.
- Colman, A. and Steven, B. (2004) “Re-thinking the one-way grid”, ITE Transportation Planning Council Newsletter, Vol., pp. 3-9.
- Das, I. (1999) “On characterizing the knee of the Pareto curve based on normal-boundary intersection”, Structural Optimization ,Vol. 18, pp. 107-115.
- Deb, K. (2001) “Multi-objective optimization using evolutionary algorithms”, John Wiley & Sons.
- Drezner, Z. W.G. (1997) “Selecting an optimum configuration of one-way and two-way routes”, Transport Science, Vol. 33, pp. 386-394.
- Drezner, Z. and Salhi, S. (2000) “Selecting a good configuration of one-way and two-way routes using tabu search”, Control and Cybernetics, Vol. 29, pp 725-740.
- Drezner, Z. and Wesolowsky, G. O. (2003) , “Network design: selection and design of links and facility location”, Transportation Research Part A: Policy and Practice, Vol. 37, pp.241-256.
- Leblanc, L. J. (1975) “ An algorithm for discrete network design problem”, Transportation Science, Vol. 9, pp. 183-199.
- Litman, T. (2013) “ Online TDM encyclopedia”, Victoria Transport Policy Institute, Website : http:
- Litman, T. (2012) “ Online TDM encyclopedia”, Available at : http:
- Lu, J., Zhang, G. and Ruan, D. (2007) “Multi objective group decision making: methods, software and applications with fuzzy set techniques”, Imperial College Press.
- Miandoabchi, E. and Farahani, R. Z. (2011) “Optimizing reserve capacity of urban road networks in a discrete network design problem”, Advances in Engineering Software, Vol. 42, pp. 1041-1050.
- O’Toole, R. (2005) “Should cities convert oneway streets to two-way?”, The Center for the American Dream Independence Institute.
- Salcedo-Sanz, S., Manjarres, D., Pastor- Sánchez, Á., Del Ser, J ,.Portilla-Figueras, J.A. and Gil-Lopez, S. (2013) “One-way urban traffic reconfiguration using a multi-objective harmony search approach”, Expert Systems with Applications”, Vol. 40, pp. 3341-3350.
- Shi Jing, B.W., TAO Li. (2009) “Quantitative Analysis of One-Way Street Effects in Urban Central District”, International Conference on Management and Service Science, pp. 1-4.
- Tian, Z., Jia, L., Dong, H., Su, F. & Zhang, Z. (2016), “Analysis of Urban Road Traffic Network Based on Complex Network”. Procedia Engineering, 137, pp.537-546.
- Jon D. Fricker1 and Yunchang Zhang. (2019), “The Effects of a Change from One-Way to Two-Way Street Operation”. TRR journal of the Transportation Research Board, pp.1-14.
- Shariat, A. Calibration Of Traffic Engineering Software Based On Tehran’s Traffic Condition; A report prepared for the Tehran’s municipality; Tehran, Iran, 2011.
- Pell, A.; Meingast, A.; Schauer, O. Trends in real-time traffic simulation. Transp. Res. Procedia 2017, 25, 1477–1484.
- Azlan, N.N.N.; Rohani, M.M. Overview of application of traffic simulation model. In Proceedings of the MATEC Web of Conferences, Penang, Malaysia, 6–7 December 2017; EDP Sciences: Paris, France; Volume 150, p. 03006.
- Gora, P.; Katrakazas, C.; Drabicki, A.; Islam, F.; Ostaszewski, P. Microscopic traffic simulation models for connected and automated vehicles (CAVs)—State-of-the-art. Procedia Comput. Sci. 2020, 170, 474–481.
- Bloomberg, L.; Dale, J. Comparison of VISSIM and CORSIM simulation models on a congested network. Transp. Res. Rec. 2000, 1727, 52–60.
- Shaw, J.W.; Nam, D.H. Microsimulation, freeway system operational assessment, and project selection in southeastern Wisconsin: Expanding the vision. In Proceedings of the 81st Annual Meeting of the Transportation Research Board, Washington, DC, USA, 13–17 January 2002.
- Tian, Z.; Urbanik, T.; Engelbrecht, R.; Balke, K. Variations in capacity and delay estimates from microscopic traffic simulation models. Transp. Res. Rec. 2002, 1802, 23–31.
- Jones, S.L.; Sullivan, A.J.; Cheekoti, N.; Anderson, M.D.; Malave, D. Traffic Simulation Software Comparison Study; A Report Prepared by the University Transportation Center of Alabama; Huntsville, AL, USA, 2004.
- Fang, F.C.; Elefteriadou, L. Some guidelines for selecting microsimulation models for interchange traffic operational analysis. J. Transp. Eng. 2005, 131, 535–543.
- Xiao, H.; Ambadipudi, R.; Hourdakis, J.; Michalopoulos, P. Methodology for Selecting Microscopic Simulators: Comparative Evaluation of AIMSUN and VISSIM; Report no. CTS 05-05; University of Minnesota: Minneapolis, MN, USA, 2005.
- Shariat, A.; Babaie, M. An evaluation of car following models in microsimulations. In Proceedings of the 7th International Civil Engineering Congress, Tehran, Iran, 8–10 May 2006.
- Pourreza, M.; Mirza Broujerdian, A.; Dindar, M. An evaluation of transport simulation models and choosing best microsimulation for traffic study. In Proceedings of the 9th International Conference on Traffic and Transportation Engineering, Tehran, Iran, 25 February 2011.
- Da Rocha, T.V.; Leclercq, L.; Montanino, M.; Parzani, C.; Punzo, V.; Ciuffo, B.; Villegas, D. Does traffic-related calibration of car-following models provide accurate estimations of vehicle emissions? Transp. Res. Part D Transp. Environ. 2015, 34, 267-280.
- Ibrahim, H.; Far, B.H. Simulation-based benefit analysis of pattern recognition application in intelligent transportation systems. In Proceedings of the IEEE 28th Canadian Conference on Electrical and Computer Engineering (CCECE), Halifax, NS, Canada, 3–6 May 2015.
- Praticò, F.G.; Vaiana, R.; Gallelli, V. Micro-simulation effectiveness in predicting operating speed profiles in a roundabout. Adv. Transp. Stud. 2015, 37, 5–14.
- Shaaban, K.; Kim, I. Comparison of SimTraffic and VISSIM microscopic traffic simulation tools in modeling roundabouts. Procedia Comput. Sci. 2015, 52, 43–50.
- Essa, M.; Sayed, T. A comparison between PARAMICS and VISSIM in estimating automated field-measured traffic conflicts at signalized intersections. J. Adv. Transp. 2016, 50, 897–917.
- Astarita, V.; Festa, D.C.; Giofrè, V.P.; Guido, G. Surrogate safety measures from traffic simulation models a comparison of different models for intersection safety evaluation. Transp. Res. Procedia 2019, 37, 219–226.
- Kan, X.D.; Xiao, L.; Liu, H.; Wang, M.; Schakel, W.J.; Lu, X.Y.; van Arem, B.; Shladover, S.E.; Ferlis, R.A. Cross-comparison and calibration of two microscopic traffic simulation models for complex freeway corridors with dedicated lanes. J. Adv. Transp. 2019, 1–15.
- Bernice Liu. (2019), “Evaluating Urban Downtown One-Way to Two-Way Street Conversion Using Microscopic Traffic Simulation”.Master Dissertation, California Polytechnic State University.
- Cenk Ozan (2017), “Determining optimum configuration of one-way and two-way streets using shortest path travel costs based on results of traffic assignment ”. Pamukkale University Journal of Engineering Sciences.
- Irena Ištoka Otković et al. (2020). “Validation of the calibration methodology of the micro-simulation traffic model ”. Transportation Research Procedia 45 . pp. 684–691.