Driver response to variable message sign information in London

Chatterjee, Kiron; Hounsell, N.B.; Firmin, P E; Bonsall, Peter

doi:10.1016/s0968-090x(01)00008-0

Cited by 176 publications

(108 citation statements)

References 8 publications

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“…In previous studies, many researchers used stated preference (SP) data from questionnaire surveys to model drivers' response behavior, e.g., [5][6][7][8][9][10][11][12][13][14][15][16]. Some other studies used SP data from travel simulator experiments (e.g., [17][18][19][20][21][22][23][24][25]).…”

Section: Introductionmentioning

confidence: 99%

Leave the expressway or not? Impact of dynamic information

Gan

2014

J. Mod. Transport.

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This study investigates drivers' diversion decision behavior under expressway variable message signs that provide travel time of both an expressway route and a local street route. Both a conventional cross-sectional logit model and a mixed logit model are developed to model drivers' response to travel time information. It is based on the data collected from a stated preference survey in Shanghai, China. The mixed logit model captures the heterogeneity in the value of ''travel time'' and ''number of traffic lights'' and accounts for correlations among repeated choices of the same respondent. Results show that travel time saving and driving experience serve as positive factors, while the number of traffic lights on the arterial road, expressway use frequency, being a middle-aged driver, and being a driver of an employer-provided car serve as negative factors in diversion. The mixed logit model obviously outperforms the cross-sectional model in dealing with repeated choices and capturing heterogeneity regarding the goodness-of-fit criterion. The significance of standard deviations of random coefficients for travel time and number of traffic lights evidences the existence of heterogeneity in the driver population. The findings of this study have implications for future efforts in driver behavior modeling and advanced traveler information system assessment.

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Section: Introductionmentioning

confidence: 99%

Leave the expressway or not? Impact of dynamic information

Gan

2014

J. Mod. Transport.

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“…Similarly, roadside variable message signs can be used to push formation to motorists (and has been done so for example in The Hague to convey local air quality information 2 ). However, here it should be noted that in a UK study, only a third of motorists passing a sign displaying immediate warning information were found to have even seen the sign (Chatterjee et al, 2002). In other words, pushing information to travellers is no guarantee that they will connect with the information.…”

Section: Information Acquisitionmentioning

confidence: 71%

Chapter 12 The Role of Information in Reducing the Impacts of Climate Change for Transport Applications

Waygood¹,

Avineri²,

Lyons³

2012

Transport and Sustainability

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“…A study in London used field observation and questionnaire to investigate the effect of different VMS messages on the route choice of the drivers. The number of drivers who diverted as observed in the field was only one-fifth of the number of drivers who would divert as predicted from the questionnaire [14]. A field study conducted in Oslo to evaluate the effect of VMS on route choice concluded that there was a high compliance with VMS suggestions, in which approximately 20% of the vehicles changed route choice according to VMS suggestions [15].…”

Section: Introductionmentioning

confidence: 91%