nach oben

Transportation

Erschienen in:

25.01.2019

The influence of variable message signs on en-route diversion between a toll highway and a free competing alternative

verfasst von: Fernando Romero, Juan Gomez, Thais Rangel, Rafael Jurado-Piña, José Manuel Vassallo

Erschienen in: Transportation | Ausgabe 4/2020

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

In the field of road transport, Advanced Traveller Information Systems represent a relevant tool to manage road traffic, improve drivers’ utility and make a more efficient use of transport infrastructure. Due to the growing sources of en-route information available nowadays, it is crucial to understand better its influence on drivers’ behaviour, particularly with regard to route choice. Previous research in this field has mainly focused on the provision of en-route information in toll-free environments. However, few researches have explored its influence when a tolled alternative is available. This paper is aimed at exploring the influence of variable message signs (VMS) information on drivers’ route choice, made between a free highway and a competing tolled alternative. To that end, we develop a binary logit analysis based on empirical data from the metropolitan area of Madrid, Spain. Results show that the type of information provided to drivers through VMS panels significantly influences their route choice when one of the alternatives is tolled. Furthermore, some combinations of messages, such as adding travel time estimates together with incident messages, greatly increase the diversion rate to the tolled route. The research also offers evidence that the influence of the information provided changes according to the type of day, which may be related to traffic conditions, and to the different types of user characteristic of weekday and weekend mobility.

Vorheriger Artikel Carpooling and drivers without household vehicles: gender disparity in automobility among Hispanics and non-Hispanics in the U.S.

Nächster Artikel Cycling culture and socialisation: modelling the effect of immigrant origin on cycling in Denmark and the Netherlands

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Abdel-Aty, M., Abdalla, M.F.: Modeling drivers’ diversion from normal routes under ATIS using generalized estimating equations and binomial probit link function. Transportation 31, 327–348 (2004). https://doi.org/10.1023/B:PORT.0000025396.32909.dc CrossRef

Abdel-Aty, M.A., Kitamura, R., Jovanis, P.P.: Using stated preference data for studying the effect of advanced traffic information on drivers’ route choice. Transp. Res. Part C Emerg. Technol. 5, 39–50 (1997). https://doi.org/10.1016/S0968-090X(96)00023-X CrossRef

Ahmed, K., Al-Zoubi, K., Siddiqui, M.A., Anas, M.: Evaluation of the effectiveness of portable variable message signs in work zones in United Arab Emirates. IET Intell. Transp. Syst. 10, 114–121 (2016). https://doi.org/10.1049/iet-its.2015.0007 CrossRef

Al-Deek, H., Lochrane, T.W.P., Srinivasa Ravi Chandra, C.V., Khattak, A.: Diversion during unexpected congestion on toll roads: the role of traffic information displayed on dynamic message signs. IET Intell. Transp. Syst. 6, 97 (2012). https://doi.org/10.1049/iet-its.2010.0163 CrossRef

Al-Deek, H., Venkata, S., Flick, J., Khattak, A.: Dynamic message sign deployment and diversion behavior of travelers on central florida toll roads. Transp. Res. Rec. J. Transp. Res. Board 2129, 24–34 (2009). https://doi.org/10.3141/2129-04 CrossRef

Ben-Akiva, M.E., Lerman, S.R.: Discrete choice analysis : theory and application to travel demand. MIT Press, Cambridge (1985)

Ben-Elia, E., Erev, I., Shiftan, Y.: The combined effect of information and experience on drivers’ route-choice behavior. Transportation 35, 165–177 (2008). https://doi.org/10.1007/s11116-007-9143-7 CrossRef

Ben-Elia, E., Shiftan, Y.: Which road do I take? A learning-based model of route-choice behavior with real-time information. Transp. Res. Part A Policy Pract. 44, 249–264 (2010). https://doi.org/10.1016/j.tra.2010.01.007 CrossRef

Burris, M., Nelson, S., Kelly, P., Gupta, P., Cho, Y.: Willingness to pay for high-occupancy toll lanes. Transp. Res. Rec. J. Transp. Res. Board 2297, 47–55 (2012). https://doi.org/10.3141/2297-06 CrossRef

Cantos-Sánchez, P., Moner-Colonques, R., Sempere-Monerris, J.J., Álvarez-SanJaime, Ó.: Viability of new road infrastructure with heterogeneous users. Transp. Res. Part A Policy Pract. 45, 435–450 (2011). https://doi.org/10.1016/j.tra.2011.02.003 CrossRef

Chatterjee, K., Hounsell, N., Firmin, P., Bonsall, P.: Driver response to variable message sign information in London. Transp. Res. C Emerg. Technol. 10, 149–169 (2002). https://doi.org/10.1016/S0968-090X(01)00008-0 CrossRef

Chatterjee, K., McDonald, M.: Effectiveness of using variable message signs to disseminate dynamic traffic information: evidence from field trails in European cities. Transp. Rev. 24, 559–585 (2004). https://doi.org/10.1080/0144164042000196080 CrossRef

Chaurand, N., Bossart, F., Delhomme, P.: A naturalistic study of the impact of message framing on highway speeding. Transp. Res. F Traffic Psychol. Behav. 35, 37–44 (2015). https://doi.org/10.1016/j.trf.2015.09.001 CrossRef

Choocharukul, K.: Effects of attitudes and socioeconomic and travel characteristics on stated route diversion: structural equation modeling approach of road users in Bangkok, Thailand. Transp. Res. Rec. J. Transp. Res. Board 2048, 35–42 (2008). https://doi.org/10.3141/2048-05 CrossRef

Emmerink, R.H.M., Nijkamp, P., Rietveld, P., Van Ommeren, J.N.: Variable message signs and radio traffic information: an integrated empirical analysis of drivers’ route choice behaviour. Transp. Res. A Policy Pract. 30, 135–153 (1996). https://doi.org/10.1016/0965-8564(95)00016-X CrossRef

Erke, A., Sagberg, F., Hagman, R.: Effects of route guidance variable message signs (VMS) on driver behaviour. Transp. Res. F Traffic Psychol. Behav. 10, 447–457 (2007). https://doi.org/10.1016/j.trf.2007.03.003 CrossRef

Feng, C.M., Kuo, Y.W.: Comparative analysis of stated en-route switching behavior under various information scenarios. In: IEEE international conference on wireless communications, networking and mobile computing, 2007. 6144–6147

Fifer, S., Rose, J., Greaves, S.: Hypothetical bias in stated choice experiments: is it a problem? And if so, how do we deal with it? Transp. Res. A Policy Pract. 61, 164–177 (2014). https://doi.org/10.1016/j.tra.2013.12.010 CrossRef

Foo, S., Abdulhai, B.: Evaluating the impacts of changeable message signs on traffic diversion. In: IEEE intelligent transportation systems conference, 2006. 891–896

Fox, J., Monette, G.: Generalized Collinearity Diagnostics. J. Am. Stat. Assoc. 87, 178–183 (1992). https://doi.org/10.1080/01621459.1992.10475190 CrossRef

Gan, H., Ye, X.: Urban freeway users’ diversion response to variable message sign displaying the travel time of both freeway and local street. IET Intell. Transp. Syst. 6, 78 (2012). https://doi.org/10.1049/iet-its.2011.0070 CrossRef

Gomez, J., Vassallo, J.M., Herraiz, I.: Explaining light vehicle demand evolution in interurban toll roads: a dynamic panel data analysis in Spain. Transportation 43, 677–703 (2016). https://doi.org/10.1007/s11116-015-9612-3 CrossRef

Hassan, H.M., Abdel-Aty, M.A., Choi, K., Algadhi, S.A.: Driver behavior and preferences for changeable message signs and variable speed limits in reduced visibility conditions. J. Intell. Transp. Syst. 16, 132–146 (2012). https://doi.org/10.1080/15472450.2012.691842 CrossRef

Hensher, D.A., Bradley, M.: Using stated response choice data to enrich revealed preference discrete choice models. Mark. Lett. 4, 139–151 (1993). https://doi.org/10.1007/BF00994072 CrossRef

Huang, C., Burris, M.W.: The short-run impact of gas prices fluctuations on toll road use. Case Stud. Transp. Policy 3, 137–150 (2015). https://doi.org/10.1016/j.cstp.2014.12.005 CrossRef

Huang, Y., Bai, Y.: Effectiveness of graphic-aided portable changeable message signs in reducing vehicle speeds in highway work zones. Transp. Res. C Emerg. Technol. 48, 311–321 (2014). https://doi.org/10.1016/j.trc.2014.09.007 CrossRef

Jamson, A.H., Merat, N.: The effectiveness of safety campaign VMS messages—a driving simulator investigation. In: Proceedings of the 4th international driving symposium on human factors in driver assessment, training, and vehicle. 459–465. Stevenson, Washington (2007)

Jeihani, M., NarooieNezhad, S., Bakhsh Kelarestaghi, K.: Integration of a driving simulator and a traffic simulator case study: exploring drivers’ behavior in response to variable message signs. IATSS Res. 41, 164–171 (2017). https://doi.org/10.1016/j.iatssr.2017.03.001 CrossRef

Knorr, F., Chmura, T., Schreckenberg, M.: Route choice in the presence of a toll road: the role of pre-trip information and learning. Transp. Res. Part F Traffic Psychol. Behav. 27, 44–55 (2014). https://doi.org/10.1016/j.trf.2014.09.003 CrossRef

Kusakabe, T., Sharyo, T., Asakura, Y.: Effects of traffic incident information on drivers’ route choice behaviour in urban expressway network. Procedia-Soc. Behav. Sci. 54, 179–188 (2012). https://doi.org/10.1016/j.sbspro.2012.09.737 CrossRef

Li, X., Cao, Y., Zhao, X., Xie, D.: Drivers’ diversion from expressway under real traffic condition information shown on variable message signs. KSCE J. Civ. Eng. 19, 2262–2270 (2015). https://doi.org/10.1007/s12205-014-0692-y CrossRef

Ma, Z., Shao, C., Song, Y., Chen, J.: Driver response to information provided by variable message signs in Beijing. Transp. Res. F Traffic Psychol. Behav. 26, 199–209 (2014). https://doi.org/10.1016/j.trf.2014.07.006 CrossRef

Matas, A., Raymond, J.-L., Ruiz, A.: Traffic forecasts under uncertainty and capacity constraints. Transportation 39, 1–17 (2012). https://doi.org/10.1007/s11116-011-9325-1 CrossRef

Niu, D., Sun, J.: Eco-driving versus green wave speed guidance for signalized highway traffic: a multi-vehicle driving simulator study. Procedia-Soc. Behav. Sci. 96, 1079–1090 (2013). https://doi.org/10.1016/j.sbspro.2013.08.124 CrossRef

Ortúzar, J. de D., Willumsen, L.G.: Modelling Transport. Wiley, Chichester, UK (2011). https://doi.org/10.1002/9781119993308 CrossRef

Petrella, M., Lappin, J.: Comparative analysis of customer response to online traffic information in two cities: Los Angeles, California, and Seattle, Washington. Transp. Res. Rec. J. Transp. Res. Board 1886, 10–17 (2004). https://doi.org/10.3141/1886-02 CrossRef

Poulopoulou, M., Spyropoulou, I., Antoniou, C.: Parameters affecting professional driver response to VMS messages. In: IEEE 18th international conference on intelligent transportation systems, 2015. 1563–1568

Rämä, P., Kulmala, R.: Effects of variable message signs for slippery road conditions on driving speed and headways. Transp. Res. F Traffic Psychol. Behav. 3, 85–94 (2000). https://doi.org/10.1016/s1369-8478(00)00018-8 CrossRef

Schroeder, J.L., Demetsky, M.J.: Data analysis of diversion and dynamic message signs. J. Transp. Eng. 137, 608–614 (2011). https://doi.org/10.1061/(ASCE)TE.1943-5436.0000270 CrossRef

Spyropoulou, I., Antoniou, C.: Determinants of driver response to variable message sign information in Athens. IET Intell. Transp. Syst. 9, 453–466 (2015). https://doi.org/10.1049/iet-its.2014.0053 CrossRef

Toledo, T., Beinhaker, R.: Evaluation of the potential benefits of advanced traveler information systems. J. Intell. Transp. Syst. 10, 173–183 (2006). https://doi.org/10.1080/15472450600981033 CrossRef

TRB (Transportation Research Board): Highway Capacity Manual—a guide for multimodal mobility analysis (6th Edition). Transportation Research Board, National Research Council, Washington (2016)

Tsirimpa, A., Polydoropoulou, A., Antoniou, C.: Development of a mixed multi-nomial logit model to capture the impact of information systems on travelers’ switching behavior. J. Intell. Transp. Syst. 11, 79–89 (2007). https://doi.org/10.1080/15472450701293882 CrossRef

Vassallo, J.M., Ortega, A., Baeza, M.D.L.Á.: Impact of the economic recession on toll highway concessions in Spain. J. Manag. Eng. 28, 398–406 (2012). https://doi.org/10.1061/(asce)me.1943-5479.0000108 CrossRef

Wardman, M., Bonsall, P.W., Shires, J.D.: Driver response to variable message signs: a stated preference investigation. Transp. Res. C Emerg. Technol. 5, 389–405 (1997). https://doi.org/10.1016/S0968-090X(98)00004-7 CrossRef

Xu, T., Sun, L., Peng, Z.-R.: Empirical analysis and modeling of drivers’ response to variable message signs in Shanghai, China. Transp. Res. Rec. J. Transp. Res. Board 2243, 99–107 (2011). https://doi.org/10.3141/2243-12 CrossRef

Xuan, Y.E., Kanafani, A.: Evaluation of the effectiveness of accident information on freeway changeable message signs: a comparison of empirical methodologies. Transp. Res. C Emerg. Technol. 48, 158–171 (2014). https://doi.org/10.1016/j.trc.2014.08.011 CrossRef

Yan, X., Wu, J.: Effectiveness of variable message signs on driving behavior based on a driving simulation experiment. Discret. Dyn. Nat. Soc. 2014, 1–9 (2014). https://doi.org/10.1155/2014/206805 CrossRef

Yim, Y., Ygnace, J.-L.: Link flow evaluation using loop detector data: traveler response to variable-message signs. Transp. Res. Rec. J. Transp. Res. Board 1550, 58–64 (1996). https://doi.org/10.3141/1550-08 CrossRef

Zhang, G., Wang, Z., Persad, K.R., Walton, C.M.: Enhanced traffic information dissemination to facilitate toll road utilization: a nested logit model of a stated preference survey in Texas. Transportation 41, 231–249 (2014). https://doi.org/10.1007/s11116-013-9449-6 CrossRef

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. Part A Policy Pract. 46, 1490–1505 (2012). https://doi.org/10.1016/j.tra.2012.05.022 CrossRef

Titel: The influence of variable message signs on en-route diversion between a toll highway and a free competing alternative
verfasst von: Fernando Romero
Juan Gomez
Thais Rangel
Rafael Jurado-Piña
José Manuel Vassallo
Publikationsdatum: 25.01.2019
Verlag: Springer US
Erschienen in: Transportation / Ausgabe 4/2020
Print ISSN: 0049-4488
Elektronische ISSN: 1572-9435
DOI: https://doi.org/10.1007/s11116-019-09976-8

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Weitere Artikel der Ausgabe 4/2020

Determinants affecting ferry users’ waiting time at ferry terminals

Investigating the capacity of continuous household travel surveys in capturing the temporal rhythms of travel demand

Traffic forecast inaccuracy in transportation: a literature review of roads and railways projects

Studying the relationship between activity participation, social networks, expenditures and travel behavior on leisure activities

Performance analysis of crowd-shipping in urban and suburban areas

Carpooling and drivers without household vehicles: gender disparity in automobility among Hispanics and non-Hispanics in the U.S.

Premium Partner