DocumentCode
43872
Title
Short-Run Route Diversion: An Empirical Investigation into Variable Message Sign Design and Policy Experiments
Author
Jindahra, P. ; Choocharukul, K.
Author_Institution
Sasin Grad. Inst. of Bus. Adm., Chulalongkorn Univ., Bangkok, Thailand
Volume
14
Issue
1
fYear
2013
fDate
Mar-13
Firstpage
388
Lastpage
397
Abstract
Variable message signs (VMSs) can convey several traffic and roadway information to motorists. Using empirical stated preference (SP) data from road users in Bangkok, Thailand, we demonstrate that short-run route diversion can be estimated and forecast based on different VMS message-content attributes via mixed logit and logit models in which the motorist´s stated route diversion is the dependent variable. The findings reveal that different message contents lead to different levels of route-changing propensity. Route diversion in Bangkok is likely when a VMS displays a suggested route and qualitative information. The framing effect on route-choice decision explains the finding of qualitative delay information preference to its quantitative counterpart. To determine the policy implications, we further investigate the developed models by estimating changes in the probability of the stated route choice due to changes in the message content. Three VMS message policy experiments are conducted using the model: enforcing quantitative delay content, enforcing qualitative delay content, and enforcing suggested route content. The results show that qualitative delay information and the suggested route reduce the ambiguity of the message quality. The optimal VMS designs for short-run traffic management to encourage/discourage route diversion are discussed.
Keywords
data analysis; probability; road traffic; traffic information systems; vehicle routing; Bangkok; Thailand; VMS message policy experiments; VMS message-content attributes; logit model; mixed logit model; qualitative delay information preference; roadway information; short-run route diversion; short-run traffic management; stated preference data; stated route choice probability; traffic information; variable message sign design experiment; variable message sign policy experiment; Accidents; Data models; Delay; Estimation; Mathematical model; Roads; Diversion; optimal design; policy experiment; route guidance; variable message sign (VMS);
fLanguage
English
Journal_Title
Intelligent Transportation Systems, IEEE Transactions on
Publisher
ieee
ISSN
1524-9050
Type
jour
DOI
10.1109/TITS.2012.2215854
Filename
6304929
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