Skip to main content
SpringerLink
Log in

Modelling Behavior in a Route Choice Driving Simulation Experiment in Presence of Information

  • Conference paper
  • First Online:
Advanced Information Networking and Applications (AINA 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 227))

  • 980 Accesses

Abstract

Modelling route choice decision making in Advanced Traveler information System (ATIS) contexts is still a crucial task. In particular, two main categories of variables can be identified in order to model travelers’ behaviors: the former may be defined as endogenous and are related to the experiment environment; the latter may be defined as exogenous (referring to the respondents involved in the experiment). This paper focuses on the analysis of exogenous variables. An experiment is carried out using a driving simulator, on a real route choice context (a sub-area of the urban network in the city of Naples, in the Campania Region) reproduced in a virtual reality. All data are analyzed by aggregate and statistical approaches to preliminarily investigate the correlations between some exogenous variables and the collected choices of drivers. Furthermore, collected observations have been modelled by applying the Structural Equation Model (SEM) approach to model the effect of information on switching behaviors.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 259.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
Price excludes VAT (USA)
  • Compact, lightweight 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

References

  1. Adler, J.L.: Investigating the learning effects of route guidance and traffic advisories on route choice behaviour. Transp. Res. Part C 9(1), 1–14 (2001)

    Article  Google Scholar 

  2. Avineri, E., Prashker, J. N.: The impact of travel time information on travellers’ learning under uncertainty. In: 10th International on Travel Behaviour Research, 10–15. August 2003 in Luzern Swiss (2003)

    Google Scholar 

  3. Baldoni, F., Galante, F., Pernetti, M., Russo, M., Terzo, M., Toscano, M.: Tuning and objective performance evaluation of a driving simulator to investigate tyre behaviour in on-center handling manoeuvres. Veh. Syst. Dyn. 49, 1423–1440 (2011)

    Article  Google Scholar 

  4. Bekhor, S., Albert, G.: Accounting for sensation seeking in route choice behavior with travel time information. Transp. Res. Part F: Traffic Psychol. Behav. 22, 39–49 (2014)

    Article  Google Scholar 

  5. Ben-Elia, E., Di Pace, R., Bifulco, G.N., Shiftan, Y.: The Impact of travel information’s accuracy on route-choice. Transp. Res. Part C: Emerg. Technol. 26, 146–159 (2013)

    Article  Google Scholar 

  6. Bifulco, G.N., Di Pace, R., Viti, F.: Evaluating the effects of information reliability on travellers’ route choice. Eur. Transp. Res. Rev. 6(1), 61–70 (2014)

    Google Scholar 

  7. Bifulco, G.N., Simonelli, F., Di Pace, R.: Endogenous driver compliance and network performances under ATIS. In: Proceedings of IEEE Intelligent Transportation Systems Conference (ITSC’07), Seattle, Washington (USA), pp. 1028–1033 (2007)

    Google Scholar 

  8. Bifulco, G.N., Simonelli, F., Di Pace, R.: The role of the uncertainty in ATIS applications. In: Application of Soft Computing – Updating the State of Art, vol. 52, pp. 230–239 (2009)

    Google Scholar 

  9. Birrell, S.A., Young, M.S.: The impact of smart driving aids on driving performance and driver distraction. Transp. Res. Part F: Traffic Psychol. Behav. 14(6), 484–493 (2011)

    Article  Google Scholar 

  10. Bonsall, P., Firmin, P., Anderson, M., Palmer, I., Balmforth, P.: Validating the results of a route choice simulator. Transp. Res. Part C 5(6), 371–387 (1997)

    Article  Google Scholar 

  11. Calise, F., Cappiello, F.L., Cartenì, A., Dentice d’Accadia, M., Vicidomini, M.: A novel paradigm for a sustainable mobility based on electric vehicles, photovoltaic panels and electric energy storage systems: case studies for Naples and Salerno (Italy). Renew. Sustain. Energy Rev. 111, 97–114 (2020)

    Article  Google Scholar 

  12. Cartenì, A.: Urban sustainable mobility. Part 2: Simulation models and impacts estimation. Transp. Probl. 10(1), 5–16 (2015)

    Google Scholar 

  13. Cartenì, A.: The acceptability value of autonomous vehicles: A quantitative analysis of the willingness to pay for shared autonomous vehicles (SAVs) mobility services. Transp. Res. Interdiscip. Perspect. 8, 100224 (2020)

    Google Scholar 

  14. Chang, H.L., Chen, P.C.: Impact of uncertain travel information on drivers’ route choice behaviour. In: Transportation Research Board 88th Annual Meeting, Washington, D.C., USA, January 2009

    Google Scholar 

  15. de Palma, A., Ben-Akiva, M., Brownstone, D., Holt, C., Magnac, T., McFadden, D., Moffatt, P., Picard, N., Train, K., Wakker, P., Walker, J.: Risk, uncertainty and discrete choice models. Mark. Lett. 19, 269–285 (2008)

    Article  Google Scholar 

  16. Di Pace, R., Galante, F., Pariota, L., Bifulco, G.N., Pernetti, M.: Collecting data in ATIS context: travel simulator platform vs. route choice driving simulator. In: Proceedings of the 90th TRB Annual Meeting, Washington U.S.A., 23–27 January 2011, pp. 1–16 (2011)

    Google Scholar 

  17. Di Pace, R.: Analytical Tools for ATIS (Strumenti Analitici per Applicazioni ATIS), Ph.D. thesis, Università degli Studi di Napoli “Federico II”- Facoltà di Ingegneria (2008). https://www.fedoa.unina.it/view/people/Di_Pace,_Roberta.html

  18. Papinski, D., Scott, D.M., Doherty, S.T.: Exploring the route choice decision-making process: a comparison of planned and observed routes obtained using person-based GPS. Transp. Res. Part F 12, 347–358 (2009)

    Article  Google Scholar 

  19. Galante, F., Mauriello, F., Montella, A., Pernetti, M., Aria, M., D’Ambrosio, A.: Traffic calming along rural highways crossing small urban communities: driving simulator experiment. Accid. Anal. Prev. 42(6), 1585–1594 (2011)

    Article  Google Scholar 

  20. Golob, T.F.: Structural equation modeling for travel behavior research. Transp. Res. Part B: Methodol. 37(1), 1–25 (2003)

    Article  Google Scholar 

  21. Henke, I., Cartenì, A., Molitierno, C., Errico, A.: Decision-making in the transport sector: a sustainable evaluation method for road infrastructure. Sustainability 12(3), 764 (2020)

    Article  Google Scholar 

  22. Henke, I., Cartenì, A., Francesco, L.D.: A Sustainable evaluation processes for investments in the transport sector: a combined multi-criteria and cost-benefit analysis for a new highway in Italy. Sustainability 12(23), 9854 (2020)

    Article  Google Scholar 

  23. Jamson, A.H., Merat, N.: Surrogate in-vehicle information systems and driver behaviour: effects of visual and cognitive load in simulated rural driving. Transp. Res. Part F: Traffic Psychol. Behav. 8(2), 79–96 (2005)

    Article  Google Scholar 

  24. Jӧreskog, K.G., Sӧrbom, D.: LISREL 8 User’s Reference Guide. Lincolnwood, Scientific Software International (1999b)

    Google Scholar 

  25. Jӧreskog, K.G., Sӧrbom, D., Du Toit, S., Du Toit, M.: LISREL 8: New StatisticalFeatures. Third printing with revisions. Scientific Software International, Lincolnwood (2003)

    Google Scholar 

  26. Kaplan, D.: Structural Equation Modeling: Foundations and Extensions. Sage Publications, Newbury Park (2000)

    MATH  Google Scholar 

  27. Katsikopoulos, K.V., Duse-Anthony, Y., Fisher, D.L., Duffy, S.A.: The framing of drivers’ route choice when travel time information is provided under varying degrees of cognitive load. Hum. Factors Ergon. Soc. 42(3), 470–481 (2000)

    Article  Google Scholar 

  28. Katsikopoulos, K.V., Duse-Anthony, Y., Fisher, D.L., Duffy, S.: A risk attitude reversals in drivers’ route choice when range of travel time information is provided. Hum. Factors Ergon. Soc. 43(3), 466–473 (2002)

    Article  Google Scholar 

  29. Lapietra, M., Pronello, C.: Experimental results from the test on the new Stated Preferences valuation method, the Continuous Attribute-Based Stated Choice, in the web based surveys. In: The 8th International Conference on Survey Methods in Transport, Annecy, France, 25–31 May 2008 (2008)

    Google Scholar 

  30. McFadden, D.: The choice theory approach to market research. Mark. Sci. 5(4), 275–297 (1986)

    Article  Google Scholar 

  31. de Dios Ortúzar, J., Willumsen, L.G.: Modelling Transport, 4th edn. Wiley, Publication Prentice Hall, Englewood Cliffs (1988)

    Google Scholar 

  32. Paz, A., Peeta, S.: Information-based network control strategies consistent with estimated driver behavior. Transp. Res. Part B: Methodol. 43(1), 73–96 (2009)

    Article  Google Scholar 

  33. Peeta, S., Paz, A., DeLaurentis, D.: Stated preference analysis of a new very light jet based on-demand air service. Transp. Res. Part A: Policy Pract. 42(4), 629–645 (2008)

    Google Scholar 

  34. Peeta, S., Yu, J.W.: Adaptability of a hybrid route choice model to incorporating driver behavior dynamics under information provision. IEEE Trans. Syst. Man Cybern.-Part A: Syst. Hum. 34(2), 243–256 (2004)

    Article  Google Scholar 

  35. Peeta, S., Yu, J.W.: A hybrid model for driver route choice incorporating en-route attributes and real-time information effects. Netw. Spat. Econ. 5(1), 21–40 (2005)

    Article  Google Scholar 

  36. Ranney, T.A., Baldwin, G.H., Smith, L.A., Martin, J., Mazzae, E.N.: Driver behavior during visual-manual secondary task performance: occlusion method versus simulated driving (No. DOT HS 811 726) (2013) 

    Google Scholar 

  37. Song, D., Peeta, S., Hsu, Y.T.: Psychological effects of real-time travel information on traveler route choice decision-making process (No. 17–01162). (2017). 

    Google Scholar 

  38. Tian, H., Gao, S., Fisher, D. L., Post, B.: A mixed-logit latent-class model of strategic route choice behavior with real-time information. In: Transportation Research Board 91th Annual Meeting, Washington, D.C., USA, January 2012.

    Google Scholar 

  39. Tian, H., Gao, S., Fisher, D.L., Post, B.: Route choice behavior in a driving simulator with real-time information. pp. Transportation Research Board 90th Annual Meeting, Washington, D.C., USA, January 2011

    Google Scholar 

  40. Tsirimpa, A., Polydoropoulou, A., Antoniou, C.: Development of a latent variable model to capture the impact of risk aversion on travelers’ switching behavior. J. Choice Model. 3(1), 127–148

    Google Scholar 

  41. Tversky, A., Kahneman, D.: Judgment under uncertainty: heuristics and biases. Science 185, 1124–1130 (1974)

    Article  Google Scholar 

  42. Yu, J.W., Peeta, S.: Experimental analysis of a hybrid route choice model to capture dynamic behavioral phenomena under advanced information systems. KSCE J. Civil Eng. 15(1), 175–185 (2011)

    Article  Google Scholar 

  43. Zhang, L., Levinson, D.: Determinants of route choice and value of traveler information: a field experiment. Transp. Res. Rec. 2086(1), 81–92 (2008)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Civil Engineering, University of Salerno, Fisciano, SA, Italy

    Roberta Di Pace & Stefano de Luca

  2. Department of Civil and Environmental Engineering, University of Naples ‘Federico II’, Naples, Italy

    Francesco Galante & Luigi Pariota

Authors
  1. Roberta Di Pace
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Stefano de Luca
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Francesco Galante
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Luigi Pariota
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Roberta Di Pace .

Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. Department of Computer Science, Ryerson University, Toronto, ON, Canada

    Isaac Woungang

  3. Faculty of Business Administration, Rissho University, Tokyo, Japan

    Tomoya Enokido

Rights and permissions

Reprints and permissions

Copyright information

© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Di Pace, R., de Luca, S., Galante, F., Pariota, L. (2021). Modelling Behavior in a Route Choice Driving Simulation Experiment in Presence of Information. In: Barolli, L., Woungang, I., Enokido, T. (eds) Advanced Information Networking and Applications. AINA 2021. Lecture Notes in Networks and Systems, vol 227. Springer, Cham. https://doi.org/10.1007/978-3-030-75078-7_67

Download citation

Publish with us

Policies and ethics

Search

Navigation