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The human behaviour in traffic networks

  • School: Nottingham Business School
  • Starting: 2021
  • Funding: UK student / EU student (non-UK) / International student (non-EU) / Self-funded


This project will analyse human behaviour in networks. An emphasis will be traffic networks. In their analyses, Chmura, Pitz, Schreckenberg and Selten have laid a special emphasis on Route Choice Scenarios of the following type: In 200 periods, the test subjects had the task to decide each time between the main route M and the side road S in order to reach the arrival point B. The travel time is shorter on M than on S if the number of participants on both roads is the same. The described route scenarios will be extended for new complex traffic scenarios. The experiment is on a two-route scenario, in which 18 human players and 18 artificial agents have to choose repeatedly between the two alternatives. The payoff depends on the travel time of each participant. The travel time calculated by a transition algorithm is also used as forecast-algorithm in real traffic information systems. The experiments differ in the quality and quantity of the given information to the participants. Also, in future investigations laboratory experiments will be a main instrument to test human behaviour in traffic forecast systems.

Methodology: Experiments, Experimental and Behavioural Economics

Reading list

CHMURA, T., HERZ, B., KNORR, F., PITZ, T. and SCHRECKENBERG, M., 2014. A simple stochastic cellular automaton for synchronized traffic flow. Physica A: Statistical Mechanics and its Applications, 405, pp. 332-337. ISSN 0378-4371

KNORR, F., CHMURA, T. and SCHRECKENBERG, M., 2014. Route choice in the presence of a toll road: The role of pre-trip information and learning. Transportation Research Part F: Traffic Psychology and Behaviour, 27, pp. 44-55. ISSN 1369-8478

CHMURA, T. and PITZ, T., 2007. An extended reinforcement algorithm for estimation of human behaviour in experimental congestion games. Journal of Artificial Societies and Social Simulation, 10 (2), pp. 1-20. ISSN 1460-7425

CHMURA, T. and PITZ, T., 2006. Successful strategies in repeated minority games. Physica A: Statistical Mechanics and its Applications, 363 (2), pp. 477-480. ISSN 0378-4371

SELTEN, R., CHMURA, T., PITZ, T., KUBE, S. and SCHRECKENBERG, M., 2007. Commuters route choice behaviour. Games and Economic Behavior, 58 (2), pp. 394-406. ISSN 0899-8256


Professor Thorsten Chmura

Entry qualifications

An applicant for admission to read for a PhD should normally hold a first or upper second class honours degree of a UK university or an equivalent qualification, or a lower second class honours degree with a Master's degree at Merit level of a UK university or an equivalent qualification.

International students will also need to meet the English language requirements - IELTS 6.5 (with minimum sub-scores of 6.0). Applicants who have taken a higher degree at a UK university are normally exempt from the English language requirements. A research proposal (between 1,000 and a maximum of 2,000 words) must be submitted as part of the application.

For more information please visit the NTU Doctoral School – Research Degrees webpages.

How to apply

Applications are accepted all year round.

Please visit our how to apply page for a step-by-step guide and make an application.

Fees and funding

This is a self-funded PhD opportunity. Find out more about fees and funding here.

Guidance and support

Further information on guidance and support can be found on this page.

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Thorsten Chmura