© The Institution of Engineering and Technology
This study uses a hybrid approach that incorporates a driving simulator (DS) in conjunction with a stated preference (SP) survey to analyse driver response behaviour under real-time route guidance through dynamic message signs (DMSs). It seeks to better understand factors affecting the route choice decisions by bridging some of the key gaps that limit the applicability of SP approaches. A 400 km2 network southwest of the Baltimore metro area is used for the DS-based analysis with over 100 participants. The results illustrate that past exposure to DMS, travel time savings, DMS information reliability and learning from past experience are important determinants of driver response behaviour in the real world. Moreover, in addition to travel time, inertia and anchoring effects can significantly influence choice decisions. This study also illustrates that the decisions revealed in the simulator experiments at the individual level can diverge significantly from those stated in the SP questionnaire, highlighting the need to go beyond stated intent to analyse the effectiveness of information-based guidance strategies.
References
-
-
1)
-
20. Tian, H., Gao, S., Fisher, D.L., Post, B.: ‘Route choice behavior in a driving simulator with real-time information’. Transportation Research Board Annual Conf., Washington, DC, 2011.
-
2)
-
H. Al-Deek ,
R. Chandra ,
F. Jason ,
A. Khattak
.
Dynamic message sign deployment and diversion behavior of travelers on Central Florida toll roads.
J. Transp. Res. Board
,
2129 ,
24 -
34
-
3)
-
1. Levinson, D., Hua, H.: ‘Effectiveness of variable message signs using empirical loop detector data’. Transportation Research Board Annual Conf., Washington, DC, 2003.
-
4)
-
21. Tawfik, A.M., Szarka, J., House, L., Rakha, H.A.: ‘Disaggregate route choice models based on driver learning patterns and network experience’. 14th Int. IEEE Conf. on Intelligent Transportation Systems, Washington, DC, 2011, pp. 445–450.
-
5)
-
5. Lotan, T.: ‘Effects of familiarity on route choice behavior in the presence of information’, Transp. Res. C, 1997, 5, (3–4), pp. 225–243 (doi: 10.1016/S0968-090X(96)00028-9).
-
6)
-
7)
-
H.N. Koutsopoulos ,
T. Lotan ,
Q. Yang
.
A driving simulator and its application for modeling route choice in the presence of information.
Transp. Res. C
,
91 -
107
-
8)
-
24. Paz, A., Peeta, S.: ‘Paradigms to deploy a behavior-consistent approach for information-based real-time traffic routing’, Netw. Spat. Econ., 2009, 9, (2), pp. 217–241 (doi: 10.1007/s11067-008-9077-4).
-
9)
-
M. Wardman ,
P.W. Bonsall ,
J.D. Shires
.
Driver response to variable message signs: a stated preference investigation.
Transp. Res. C
,
389 -
405
-
10)
-
31. Kerkman, K., Arentze, T., Borgers, A., Kemperman, A.: ‘Car drivers’ compliance with route advice and willingness to choose socially desirable routes’, Transp. Res. Rec., 2012, 2322, pp. 102–109 (doi: 10.3141/2322-11).
-
11)
-
14. Zhong, S., Zhou, L., Ma, S., Jia, N.: ‘Effects of different factors on drivers’ guidance compliance behaviors under road condition information shown on VMS’, Transp. Res. A, 2012, 46, (9), pp. 1490–1505.
-
12)
-
S. Peeta ,
J.L. Ramos ,
R. Pasupathy
.
Content of variable message signs and on-line driver behavior.
Transp. Res. Rec.
,
102 -
108
-
13)
-
26. Ben-Elia, E., Shiftan, Y.: ‘Which road do i take? A learning-based model of route-choice behavior with real-time information’, Transp. Res. A, 2010, 44, (4), pp. 249–264.
-
14)
-
23. Paz, A., Peeta, S.: ‘On-line calibration of behavior parameters for behavior-consistent route guidance’, Transp. Res. B, 2009, 43, (4), pp. 403–421 (doi: 10.1016/j.trb.2008.07.007).
-
15)
-
3. Haghani, A., Hamedi, M., Fish, R.L., Nouruzi, A.: ‘Evaluation of dynamic message signs and their potential impact on traffic flow’. .
-
16)
-
10. Erke, A., Sagberg, F., Hagman, R.: ‘Effects of route guidance variable message signs (VMS) on driver behaviour’, Transp. Res. F, 2007, 10, (6), pp. 447–457 (doi: 10.1016/j.trf.2007.03.003).
-
17)
-
26. Srinivasan, K.K., Mahmassani, H.S.: ‘Modeling inertia and compliance mechanisms in route choice behavior under real-time information’, Transp. Res. Rec., 2000, 1725, pp. 45–53 (doi: 10.3141/1725-07).
-
18)
-
K. Chatterjee ,
N.B. Hounsell ,
P.E. Firmin ,
P.W. Bonsall
.
Driver response to variable message sign information in London.
Transp. Res. C
,
149 -
169
-
19)
-
I. Kaparias ,
M.G.H. Bell ,
Y. Chen ,
K. Bogenberger
.
ICNavS: a tool of reliable dynamic route guidance.
IET Intell. Transp. Syst.
,
225 -
233
-
20)
-
S. Peeta ,
J.L. Ramos
.
Driver response to variable message signs-based traffic information.
IEE Proc. Intell. Transp. Syst.
,
1 ,
2 -
10
-
21)
-
29. Ardeshiri, A., Jeihani, M., Peeta, S.: ‘Driving simulator based analysis of driver compliance behavior under dynamic message sign based route guidance’. Transportation Research Board Annual Conf., Washington, DC, 2014.
-
22)
-
6. Katsikopoulos, K.V., Duse-Anthony, Y., Fisher, D.L., Duffy, S.A.: ‘The framing of drivers’ route choices when travel time information is provided under varying degrees of cognitive load’, Hum. Factors, 2000, 42, (3), pp. 470–481 (doi: 10.1518/001872000779698088).
-
23)
-
10. Sikka, N., Hanley, P.: ‘How do drivers’ respond to risk and ambiguity in travel times? An empirical approach to behavioral decision theories’. Transportation Research Board Annual Conf., Washington, DC, 2013.
-
24)
-
28. Bekhor, S., Albert, G.: ‘Accounting for sensation seeking in route choice behavior with travel time information’, Transp. Res. F, 2014, 22, pp. 39–49 (doi: 10.1016/j.trf.2013.10.009).
-
25)
-
32. Shiftan, Y., Bekhor, S., Albert, G.: ‘Route choice behaviour with pre-trip travel time information’, IET Intell. Transp. Syst., 2011, 5, (3), pp. 183–189 (doi: 10.1049/iet-its.2010.0062).
-
26)
-
17. Divekar, G., Mehranian, H., Romoser, M.R.E., et al: ‘Predicting route choices of drivers given categorical and numerical information on delays ahead: effects of age, experience, and prior knowledge’, Transp. Res. Rec., 2011, 2248, pp. 104–110 (doi: 10.3141/2248-14).
-
27)
-
40. Xu, T.D., Sun, L.J., Peng, Z.R., Hao, Y.: ‘Modelling drivers’ en-route diversion behavior under variable message sign messages using real detected traffic data’, IET Intell. Transp. Syst., 2011, 5, (4), pp. 294–301 (doi: 10.1049/iet-its.2011.0060).
-
28)
-
18. Tian, H., Gao, S., Fisher, D.L., Post, B.: ‘A mixed-logit latent-class model of strategic route choice behavior with real-time information’. Transportation Research Board Annual Conf., Washington, DC, 2012.
-
29)
-
E. Ben-Elia ,
I. Erev ,
Y. Shiftan
.
The combined effect of information and experience on drivers' route-choice behavior.
Transportation
,
2 ,
165 -
177
-
30)
-
30. Jindahra, P., Choocharukul, K.: ‘Short-run route diversion: and empirical investigation into variable message sign design and policy experiments’, IEEE Trans. Intell. Transp. Syst., 2013, 14, (1), pp. 388–397 (doi: 10.1109/TITS.2012.2215854).
-
31)
-
19. Qian, Z., Zhang, H.M.: ‘A hybrid route choice model for dynamic traffic assignment’, Netw. Spat. Econ., 2013, 13, (2), pp. 183–203 (doi: 10.1007/s11067-012-9177-z).
-
32)
-
22. Paz, A., Peeta, S.: ‘Information-based network control strategies consistent with estimated driver behavior’, Transp. Res. B, 2009, 43, (1), pp. 73–96 (doi: 10.1016/j.trb.2008.06.007).
-
33)
-
J.L. Adler
.
Investigating the learning effects of route guidance and traffic advisories on route choice behavior.
Transp. Res. C
,
1 ,
1 -
14
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