A Future of Traffic ManagementToward a Hybrid System of Roadside and Personal Mobile Devices

Tom Thomas


In the last few decades, increasing traffic has led to serious problems in urban areas. Travel times for travellers have increased and the liveability in residential areas has declined due to pollution and issues concerning safety. Whereas new road and rail infrastructure in densely populated areas is costly, a better utilisation of existing infrastructure appears to be more attractive. This becomes increasingly possible due to huge developments in the world of Information and Communication Technology (ICT). However, implementing ICT solutions for the purpose of traffic management remains challenging. First, it is quite a task to set up a system in which infrastructure, travel vehicles and travellers can communicate with each other. Secondly, it is quite difficult to gather and exchange traffic and travel information in such a way that the traffic situation improves significantly. This paper deals with the latter issue, and it provides an outline for the possible architecture of a future traffic management system. It concludes that in such a system both mobile devices, like smartphones and navigation systems, and roadside devices, like loop detectors and cameras, need to be included to arrive at optimal results.


  1. Ariely, D., 2009. Predictably Irrational - Revised and expanded edition. London: HarperCollingsPublishers.
  2. Avineri, E., Prashker, J. N., 2004. Violations of expected utility theory in route-choice stated preferences, Transportation Research Record, vol. 1894, pp. 222- 229.
  3. Bajwa, S. I., Chung, E., Kuwahara, M., 2004. An adaptive travel time prediction model based on pattern matching, In 11th World Congress on Intelligent Transport Systems, Nagoya, Japan.
  4. Bie, j., Bilsma, M., Broll, G., Cao, H., Hjalmarsson, A., Hodgson, F., Holleis, P., Van Houten Y., Jacobs, K., Koolwaaij, J., Kusumastuti, D., Luther, M., 2012. Move Better with tripzoom, International Journal on Advances in Life Sciences, vol. 4, no. 3&4, pp. 125 - 135
  5. Blokpoel, R., Vreeswijk, J., 2011. Vehicle inductive profile for incident detection, In Proceedings of the 18th World Congress on Intelligent Transport Systems, Orlando, United States.
  6. Chrobok, R., Kaumann, O., Wahle, J., Schreckenberg, M., 2004. Different methods of traffic forecasting based on real data, European Journal of Operational Research, vol. 155, pp. 558-568
  7. Chung, E., 2003. Classification of traffic pattern,In Proceedings of 10th World Congress on Intelligent Transport Systems, Madrid.
  8. Dharia, A., Adeli, H., 2003. Neural network model for rapid forecasting of freeway link travel time, Engineering Applications of Artificial Intelligence, vol. 16, pp. 607-613.
  9. Fan, Y., Chen, Q., Douma, F., Liao, C.-F., 2012. Smartphone-Based Travel Experience Sampling and Behavior Intervention among Young Adults. Intelligent Transportation Systems Institute, Center for Transportation Studies, University of Minnesota.
  10. Google Maps. Maps.google.com Accessed: 2013
  11. Hasberg, P., Serwill, D., 2000. Stadtinfoköln - a global mobility information system for the Cologne area, In 7th World Congress on Intelligent Transport Systems, Turin, Italy.
  12. Henkel, L. A., Mather, M., 2007. Memory attributions for choices: How beliefs shape our memories, Journal of Memory and Language, vol. 57, pp. 163-176.
  13. Jan, O., Horowitz, A.J., Peng, Z.R., 2000. Using global positioning system data to understand variations in path choice. Transportation Research Record, vol. 1725, pp. 37-44.
  14. Jayakrishnan, R., Mahmassani, H. S., Hu, T. Y., 1994. An evaluation tool for advanced traffic information and management systems in urban networks, Transportation Research Part C, vol. 2, pp. 129-147.
  15. Kellerman, A., Schmid, A., 2000. Mobinet: Intermodal traffic management in Munich -control centre development, In 7th World Congress on Intelligent Transport Systems, Turin, Italy.
  16. Leitsch, B., 2002. A Public-privat partnership for mobility - Traffic management Center Berlin, In 9th World Congress on Intelligent Transport Systems, Chicago, USA.
  17. Li, M., Dai, J., Sahu, S., Naphade, M., 2011. Trip analyzer through smartphone apps, In Proceedings of the 19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM, 537-540.
  18. Mahmassani, H. S., Chang, G.-L., 1987. On boundedly rational user equilibrium in transportation networks, Transportation Science, vol. 21, pp. 89-99.
  19. Mather, M., Shafir, E., Johnson, M. K., 2003. Remembering chosen and assigned options, Memory and Cognition, vol. 31, pp. 422-433.
  20. Nitsche, P., Widhalm, P., Breuss, S., Maurer, P., 2012. A Strategy on How to Utilize Smartphones for Automatically Reconstructing Trips in Travel Surveys. Procedia - Social and Behavioral Sciences, vol. 48, pp. 1033-1046.
  21. Ortúzar, J. D. D., Armoogum, J., Madre, J.-L., Potier, F., 2010. Continuous Mobility Surveys: The State of Practice. Transport Reviews, vol. 31, pp. 293-312.
  22. Papinski, D., Scott, D.M., 2009. A GIS Toolkit for route choice analysis, Journal of Transport Geography, vol. 19, pp. 434 - 442.
  23. Rieser-Schüssler, N., Balmer, M., Axhausen, K.W., 2012. Route choice sets for very high-resolution data, Working paper Transport and Spatial Planning, EHT, Zürich, Switzerland
  24. Schönfelder, S., Axhausen, K. W., 2010. Urban Rhythms and Travel Behaviour. Spatial and Temporal Phenomena of Daily Travel, Farnhem/Burlington, Ashgate Publishing.
  25. Simon, H. A., 1955. A behavioural model of rational choice, Quarterly Journal of Economics, vol. 69, pp. 99-118.
  26. Stopher, P. R., 2009. The travel survey toolkit: where to from here? Transport survey methods, keeping up with a changing world, pp. 15-46.
  27. Stopher, P.R., Zhang, Y., 2011. The repetitiveness of daily travel, Transportation Research Board Annual Meeting, Washington DC, USA.
  28. Sunset, http://sunset-project.eu/ Accessed: 2013
  29. Thomas, T., Weijermars, W. A. M., Van Berkum, E. C., 2008. Variations in urban traffic volumes, European Journal of Transport and Infrastructure Research, vol. 8. no. 3, pp. 252-264.
  30. Thomas, T., Weijermars, W. A. M., and Van Berkum, E. C., 2010. , IEEE transactions on intelligent transport systems, vol. 11, no. 1, pp. 71-80.
  31. Tversky, A., Kahnemann, D., 1981. The framing of decisions and the psychology of choice, Science, vol. 211, pp. 453-458.
  32. Veenstra, S.A., Teeuw, W.B., Meeuwissen, M., 2010. Incentive Zone Enschede; Het verleiden tot gedragverandering op basis van gepersonaliseerde, multi-modale mobiliteitsinformatie en -advies, Colloquium Vervoersplanologisch Speurwerk (CVS 2010), Roermond, The Netherlands.
  33. Vreeswijk, J. D., Thomas, T., Van Berkum, E. C., Van Arem, B., 2013. Drivers' perception of route alternatives as indicator for the indifference band. In Proceedings of 92th Annual Meeting of the Transportation Board, Washington DC, USA.
  34. Weijermars , W. A. M., 2007. Analysis of urban traffic patterns using clustering, Ph.D. Thesis, University of Twente, Enschede, The Netherlands.
  35. Wild, D., 1997. Short-term forecasting based on a transformation and classification of traffic volume time series, International Journal of Forecasting, vol. 13, pp. 63-72.
  36. Yin H., Wong, S. C., Xu, J., Wong, C. K., 2002. Urban traffic flow prediction using a fuzzy-neural approach, Transportation Research Part C, vol. 10, pp. 85-98.
  37. Zhu, S., Levinson, D., 2010. Do people use the shortest path? An empirical test of Wardrop's first principle, In Conference proceedings of the 4th International Symposium on Transportation Network Reliability, Minneapolis, USA.

Paper Citation

in Harvard Style

Thomas T. (2013). A Future of Traffic ManagementToward a Hybrid System of Roadside and Personal Mobile Devices . In Proceedings of the Third International Symposium on Business Modeling and Software Design - Volume 1: BMSD, ISBN 978-989-8565-56-3, pages 271-277. DOI: 10.5220/0004776402710277

in Bibtex Style

author={Tom Thomas},
title={A Future of Traffic ManagementToward a Hybrid System of Roadside and Personal Mobile Devices},
booktitle={Proceedings of the Third International Symposium on Business Modeling and Software Design - Volume 1: BMSD,},

in EndNote Style

JO - Proceedings of the Third International Symposium on Business Modeling and Software Design - Volume 1: BMSD,
TI - A Future of Traffic ManagementToward a Hybrid System of Roadside and Personal Mobile Devices
SN - 978-989-8565-56-3
AU - Thomas T.
PY - 2013
SP - 271
EP - 277
DO - 10.5220/0004776402710277