Transport Modelling and transport demand management

TRI has a long track record in the field of research on transport modelling.  We work to make transport systems smarter, integrating advanced mathematical techniques with deep understanding of traveller behaviour.  Our approach to modelling combine advanced traditional transport models with the new opportunities offered by the availability of big data.  We have particularly strong expertise on public transport planning and operations, and network effects of congestion charging.  Our models consider the impact of real time information on the use of transport systems.  TRI played a prominent role in the COST Action TU1004 "Modelling public transport passenger flows in the era of ITS" (, a research network involving universities, transport agencies and software developers from more than 20 EU and non-EU countries.

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Contact linked in profile of Transport Modelling and transport demand management web page for Transport Modelling and transport demand management

+44 (0)131 455 2898

Achille Fonzone
Room E46
Merchiston Campus
10 Colinton Road
EH10 5DT

Selected Publications

Appiah, J., Saleh, W., Stewart, K. (2015, January). Evaluation of Existing Car-Following Models and Calibration Parameters Using Real Time Series Data. Paper presented at 47th Annual Conference of the University Transport Study Group, London City University.

Fonzone, A. (2015, ). What do you do with your app? A study of bus rider decision-making with Real-Time Passenger Information. Paper presented at 94th TRB Annual conference, .

Stewart, K., O'Dolan, C., Carreno, M. (2015, April). Evaluating the impact of innovative cycling measures in EU cycling cities. Paper presented at 7th International Travel Demand Management Symposium, University of Arizona, Tucson, Arizona USA.

Ge, Y., Stewart, K., Liu, Y., Tang, C., Liu, B. (2015). Congestion Charging in a Single Bottleneck Scenario. Transport (published online 13-Jul-2015), , (), .

Stewart, K., Ge, Y. (2015). Dynamic congestion charging: Investigating boundary effects when applying low-revenue tolls. International Journal of Transportation (in press), , (), .

Mayeux, A., Lovreglio, R., Saleh, W., Fonzone, A. (2015). Illegal pedestrian crossing at signalised junctions in urban areas: The impact of spatial factors. In: (Ed.) TRB 94th Annual Meeting Compendium of Papers, , () ( ed.). (pp. ). Washington D.C.: . Transportation Research Board of the National Academies.