Skip to main content

Route Choice Simulators

  • Conference paper
Human Behaviour and Traffic Networks

Abstract

Route choice simulators provide a means of collecting data on travellers’ choice of routes. They offer greater opportunity for experimental control and detailed observation than is possible by monitoring real-life choices and, we will argue, can provide more reliable data than can be obtained via stated preference questionnaires or other simplified exercises. Several route choice simulators were developed in the 1990s. Most were intended to help understand and predict drivers’ responses to information and guidance from the Advanced Traveller Information Systems (ATIS) then under development. Others were developed with a broader remit — namely to understand and predict drivers’ route choice in response to a wide range of stimuli and to shed light on issues such as network learning and dynamics. The paper provides examples to illustrate the range of simulators that have been developed and the uses to which they have been put. Key issues in the design of simulators, which are likely to affect the validity of any resulting data, are discussed. The findings from studies designed to compare data from a simulator with that real life are reported. Simulators are compared with alternative sources of behavioural data and conclusions are drawn on their particular strengths and weaknesses. Finally the paper examines the case for the further development and use of route choice simulators.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Adler, J.L.; Recker, W.W. and McNally, M.G. (1993). A Conflict Model and Interactive Simulator (FASTCARS) for Predicting en-route Driver Behaviour in response to Real-Time Traffic Condition Information. Transportation. Vol. 20. No. 2. pp. 83–106.

    Article  Google Scholar 

  • Allen, R.W.; Ziedman, D.; Rosenthal, T.J.; Stein A.C.; Tones J.F. and Halati A. (1991). Laboratory Assessment of Driver Route Diversion in Response to In-Vehicle Navigation and Motorist Systems. Transportation Research Record. No. 1306. pp. 82–91.

    Google Scholar 

  • Ayland, N. and Bright, J. (1991). Real-Time Responses to In-Vehicle Intelligent Vehicle-Highway Systems Technologies–A European Evaluation. Transportation Research Record. No. 1318. pp. 111–117.

    Google Scholar 

  • Bates, J.J. (1988) Stated Preference methods in Transport Research. Journal of Transport Economics and Policy. XXII, 1–137.

    Google Scholar 

  • Bonsall, P W. (1992). Drivers’ Acceptance of Route Guidance Advice: an International Comparison. Proc. International Conference on Vehicle Navigation and Information Systems, pp. 617–625, Oslo, September 1992.

    Google Scholar 

  • Bonsall, P W. (2002). Motivating the respondent: how far should you go? Presented at the IATBR Conference, Austin Texas, in 1997 and subsequently published in: Mahmassani H. (ed) In Perpetual Motion: Travel Behaviour Research Opportunities and Application Challenges, Pergamon, pp. 359–378.

    Google Scholar 

  • Bonsall, P W, Cho, H J, Palmer, I A and Thorpe, N. (1998). Experiments to determine drivers’ response to road user charges, paper presented at 8th WCTR in Antwerp in July 1998 and at European Transport Conference in September 1998 hence in Proceedings of 1998 European Transport Conference, Seminar D. PTRC, London.

    Google Scholar 

  • Bonsall, P. W., Firmin, P. E., Anderson, M E., Palmer, I. A. and Balmforth, P. J, (1997) Validating the results of route choice simulator. Transportation Research C. 5 (6). 1997.

    Google Scholar 

  • Bonsall, P W and Palmer, I.A. (1999) Behavioural response to roadside variable message signs: the importance of phrasing the message. In: Emmerink, R and Nijkamp, P. (eds). Behavioural and Network Impacts of Driver Information Systems. Ashgate.

    Google Scholar 

  • Bonsall, P W and Palmer, I.A. (2001) Modelling Drivers’ Car Parking Behaviour using Data from a Travel Choice Simulator, Paper presented at WCTR, Seoul, 2001. (Revised version accepted for publication in Transportation Research C and due to appear in 2003 ).

    Google Scholar 

  • Bonsall, P W, Palmer, I A and Balmforth P J. (1998). PARKIT — a simulated world for parking choice research. Paper presented at 8th WCTR in Antwerp in July 1998.

    Google Scholar 

  • Bonsall, P.W. and Parry, T. (1991) Using an Interactive Route-Choice Simulator to Investigate Drivers’ Compliance With Route Guidance Advice. Transportation Research Record. No. 1306. pp. 59–68.

    Google Scholar 

  • Carsten, O.M.J. and Gallimore, S. (1993). The Leeds Driving Simulator: A New Tool for Research in Driver Behaviour. Proc. 5th International Conference on Vision in Vehicles, Glasgow 1993. pp. 1–8.

    Google Scholar 

  • Chen, P.S. and Mahmassani, H.S. (1993). A Dynamic Interactive Simulator for the Study of Commuter Behavior under Real-Time Traffic Information Supply Strategies. Transportation Research Record. No. 1413. pp. 12–21.

    Google Scholar 

  • Drosdol, J. and Panik, F. (1985). The Daimler-Benz Driving Simulator: A Tool for Vehicle Development. SAE Technical Paper Series No. 850334. pp. 1–17

    Google Scholar 

  • Firmin, P.E. (1995). The Use Of Simulated Travel Environments to Investigate Driver Route Choice Behaviour. PhD. Thesis. Institute for Transport Studies, University of Leeds.

    Google Scholar 

  • Iida, Y.; Akiyama, T. And Uchida T. (1992). Experimental Analysis of Dynamic Route-Choice Behaviour. Transportation Research B. Vol. 26B. No. 1. pp. 17–32.

    Google Scholar 

  • Jamson, A.H. (2001),Image characteristics and their effect on driving simulator validity, paper presented at the International Driving Symposium on Human Factors in Driver Assessment, Training and Vehicle Design“, Aspen, Colorado, 14th-17th August 2001.

    Google Scholar 

  • Jones, P.; Story, H. and Valleley, M. (1994). Understanding Traveller Reactions to Advanced Transport Telematics Through ‘Insight’. Transport Studies Group. University of Westminster Draft Paper.

    Google Scholar 

  • Käding, W. (1995), The Advanced Daimler-Benz driving simulator,IPC-8 Technical Paper No. 9530012. Society of Automotive Engineers of Japan.

    Google Scholar 

  • Kemeny, A (1994). A simulator for co-operative driving, In Proc. 993 ITEC Conference, London, 4th-6th May 1993, pp. 67–71.

    Google Scholar 

  • Koutsopoulos, H.N.; Lotan, T. and Yang, Q. (1994). A Driving Simulator and its Application for Modeling Route-Choice in the Presence of Information. Transportation Research C. Vol. 2C. No. 2. pp. 91–107.

    Google Scholar 

  • Koutsopoulos, H.N.; Polydoropoulou, A. and Ben-Akiva, M. (1995). Travel Simulators for Data Collection on Driver Behavior in the Presence of Information. Transportation Research C. vol 3C. No. 3. pp. 143–159.

    Google Scholar 

  • Menall, A. C. and Bonsall, P. W. (1997). Analysing and Modelling the influence of roadside variable message displays on drivers route choice. In Hensher, King and Oum (eds) Selected proceedings of Seventh World Conference on Transport Research, vol 1 pp. 11–26, Pergamon Press, 1997.

    Google Scholar 

  • Palmer, I A, Bonsall, P W and Shires, J. (1998). Driver response to guidance: a comparison of data from a route choice simulator and a stated intentions exercise. Proceedings of 1998 European Transport Conference, PTRC, London.

    Google Scholar 

  • Papelis, Y. and Ahmad, O. (2001). A comprehensive microscopic autonomous driver model for use in high-fidelity driving simulation environments, Paper at Transportation Research Board Meeting, January 2001, Washington, DC.

    Google Scholar 

  • Stein, A.C.; Allen, R.W. and Schwartz, S.H. (1978). Use of Reward-Penalty Structures in Human Experimentation. Paper at 14th Annual Conference on Manual Control. University of Southern California. Paper No. 223. pp. 267–278.

    Google Scholar 

  • Van der Mede, P.H.J. and van Berkum, E.C. (1991). Modeling Route Choice, Inertia and Responses to Variable Message Signs. Proc. 6th IATBR Conference, Quebec City, Canada.

    Google Scholar 

  • Van Winsum, W.; Alm, H.; Schraagen, J.M. and Rothengatter, T. (1990). Laboratory and Field Studies on Route Representation and Drivers’ Cognitive Models of Routes. DRIVE Deliverable GIDS/NAV2 V1041.

    Google Scholar 

  • Van Wolffelaar, P.C. and van Winsum, W. (1992). A New Driving Simulator Including an Interactive Intelligent Traffic Environment. Proc. 3rd Vehicle Navigation and Information Systems Conference (VNIS `92), Oslo, Norway. IEEE. pp. 499–506.

    Chapter  Google Scholar 

  • Vaughn, K.M.; Abdel-Aty, M.A.; Kitamura, R.; Jovanis, P.P. and Yang, H. (1992). Experimental Analysis and Modeling of Sequential Route-Choice Behavior under ATIS in a Simplistic Traffic Network. Institute of Transportation Studies. University of California, Davis. Research Report UCD-ITS-RR-92–16.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2004 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Bonsall, P.W. (2004). Route Choice Simulators. In: Schreckenberg, M., Selten, R. (eds) Human Behaviour and Traffic Networks. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-07809-9_7

Download citation

  • DOI: https://doi.org/10.1007/978-3-662-07809-9_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-05950-6

  • Online ISBN: 978-3-662-07809-9

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics