A Systematic Method to Analyze Transport Networks: Considering Traffic Shifts


1 Associate Professor, Department of Civil Engineering, Monash University, Melbourne, Australia

2 Assistant Professor, Department of Civil Engineering, Monash University, Melbourne, Australia


Current network modeling practices usually assess the network performance at specified time interval, i.e. every 5 or 10 years time horizon. Furthermore, they are usually based on partially predictable data, which are being generated through various stochastic procedures. In this research, a new quantitative based methodology which combines combinatorial optimization modeling and transportation network engineering has been implemented to identify the network performance over time horizon. This method incorporates both uniform traffic demand growth and demand shifts towards more attractive zones (demand uncertainty) in the network. The proposed combinatorial programming approach defines a quantitative measure of growth and shift in the traffic load that a network can sustain. This method can assess the various potential growth topology of a transport network and investigate if a specified topology can sustain more traffic demand or if any specific topology can handle traffic shifts without significant need to amend the network infrastructure. It is believed that this quantitative measure is useful both in transport network design and in the performance analysis of the existing networks. In this paper, the application of this method is demonstrated by applying the method to a part of the Melbourne’s transportation network.


- Asakura, Y. and Kashiwadani, M. (1994) "Estimation of day-to-day dynamics of road network flow using observed link traffic and its application to network reliability analysis. Doboku Gakkai Rombun- Hokokushu",Proceedings of the Japan Society of Civil Engineers. pp. 17-25.

- Bell, M. G. H. (2000) "A game theory approach to measuring the performance reliability of transport networks", Transportation Research Part B. Vol. 34, pp. 533-545.

- Chen, A., Hai, Y., Lo, H. K. and Tnag, W. H. (2002) "Capacity reliability of a road network: an assessment methodology and numerical results", Transportation Research Part B: Methodological. Vol. 36, Issue 3, , pp. 225-252.

- Chen, A., Yang, H., Lo, H. K. and Tang, W. H. (1999) "A capacity related reliability for transportation networks", Journal of Advanced Transportation. Vol:33, pp. 183-200.

- Iida, Y. and Wakabayashi, H. (1989) "Comparative study of approximation methods of terminal reliability analysis for road networks", Doboku Gakkai Rombun- Hokokushu/Proceedings of the Japan Society of Civil Engineers. pp. 107-116.

- Ortuzar, J. and Willumsen, L. G. (2005) "Modeling transport", Third Edition, John Wiley & Sons, LTD.

- Ouveysi, I. and Sarvi, M. (2011) "A quantitative measure for the lifetime analysis of transport networks", working paper, Institute of Transport Studies, Monash University

- Papacostas, C. S. and Prevedouros, P. D. (2001) "Transportation engineering and Planning", Prentice- Hall Inc.

- Scott, D. M., Novak, D. C., Aultman-Hall, L. and Guo, F. (2006) "Network robustness index: A new method for identifying critical links and evaluating the performance of transportation networks", Journal of Transport Geography. Vol. 14, pp. 215 227.

- Sumalee, A., Luathep, P., Lam, W. H. K. and Connors, R. D. ( 2009) "Evaluation and design of transport network capacity under demand uncertainty", Transportation Research Record: Journal of the Transportation
Research Board. Vol. 2090/2009, pp.17-28.

- Webster, F. V. and Cobbe, B. M. (1966) "Traffic signals", London, Ministry of Technology. pp. 111.

- Wong, S. C. and Yang, H. (1997) "Reserve capacity of a signal-controlled road network", Transportation Research Part B: Methodological. Vol. 31, Issue 5, pp. 397-402.