Why do drivers change route? effect of graphical route information panels

Gan, Hongcheng

doi:10.1049/iet-its.2014.0028

Cited by 3 publications

(3 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It really reflects the situation of Shanghai where the majority of drivers are male. Although the officially released data about male and female driver proportions are not available to the author, the percentage of male drivers in this paper is similar to that in some of the author's previous surveys [21, 40]. Slightly over half of the sample (53.9%) has an income between 658 and 1645 $(4000 and 10 000 Yuan), which reflects a real Shanghai situation.…”

Section: Results Analysis and Discussionsupporting

confidence: 64%

To switch travel mode or not? Impact of Smartphone delivered high‐quality multimodal information

Gan

2015

IET Intelligent Transport Systems

Self Cite

View full text Add to dashboard Cite

Section: Results Analysis and Discussionsupporting

confidence: 64%

To switch travel mode or not? Impact of Smartphone delivered high‐quality multimodal information

Gan

2015

IET Intelligent Transport Systems

Self Cite

View full text Add to dashboard Cite

“…However, it is known that drivers do not always observe such information due to factors such as distraction, occlusion of information by other vehicles and/or structures, information availability (i.e., changing messages) and/ or presentation, or individualistic factors such as age, familiarity with technology, distance driven, level of education, etc. (Collins and Hall 1992;FHWA 2009;Zhong et al 2012;Gan and Chen 2013;Inman et al 2014). Thus, the MEFCP and the MEFOCP provide a way of integrating these planning considerations to assist in the identification of a configuration of DMS sites.…”

Section: Application: Siting Dynamic Message Signs (Dms)mentioning

confidence: 99%

Maximizing Expected Coverage of Flow and Opportunity for Diversion in Networked Systems

Matisziw

2018

Netw Spat Econ

View full text Add to dashboard Cite

Placement of facilities, such as those providing surveillance or assistance functions, is essential for effective and efficient system operation. Planning for where to provide these types of services in a network necessitates addressing different objectives. For instance, notifying users of future network conditions and/or availability of other services requires general exposure to that information at some point during a movement between an origin and destination. Alternatively, the usefulness of services such as the provision of information regarding current network conditions can depend upon where the service is provided relative to opportunities for users to divert from their current path to make use of that service. Regardless of the service to be made available, there is always some uncertainty as to whether or not it will be available and/or observed by users of the system. To address these planning considerations, several new models for optimizing the location of service facilities in a network are described. In particular, the proposed models account for expected coverage of network flows as well as the opportunity that exists for flows to make effective use of a service once it has been provided. While the proposed models involve non-linear objective functions, it is shown that a linearization exists given the topological relationships within a network. The developed optimization models are then integrated into a multi-objective modeling framework and applied to a case study to demonstrate the tradeoffs that exist between the planning objectives.

show abstract

“…Researchers have studied the effectiveness of information presented on VMS using surveys ( 9 – 11 ), driving simulators ( 9 , 12 – 18 ), or field experiments ( 15 , 19 ). Some of these works studied how VMS could affect route choice (e.g., 10 , 11 , 15 ) and found that VMS could lead to up to 10% of travelers changing routes based on information displayed on VMS. On the other hand, other studies considered the factors that could affect comprehensibility of VMS signs.…”

mentioning

confidence: 99%

Analysis of Colored Variable Message Signs for Visibility and Comprehensibility

Kersavage¹,

Guler

Pietrucha

2020

Transportation Research Record: Journal of the Transportation R

View full text Add to dashboard Cite

Variable message signs (VMS) present traffic information to motorists in either real-time or asynchronous static conditions, for example, such as safety information. This information can consist of early warning, advisory, and alternative route messages, and travel time information. Many U.S. states currently use VMS. New technology allows for messages to be configured using colored fonts and backgrounds, but whether these new features affect the visibility and comprehensibility of VMS is not known. Expert interviews and laboratory tests were conducted to examine the effectiveness of the use of different wording, text, and background colors, and types of information on a VMS. The expert interviews provided information on best practices related to VMS design and use, and provided feedback on the preliminary test panel candidates, which were modified and used in the final group of test stimuli. The first laboratory experiments compared signs based on the reaction times and viewing distances of participants reading and interpreting sign information. The shortest reaction times occurred when: (a) messages displayed time only, (b) route numbers were displayed as text, not as part of route shields, and (c) color was not used, but if color were used it would be on a black background and to show congested travel times. The second laboratory experiments compared signs based on the correctness of the participants’ responses about travel times or distances. The results determined there were no differences in identifying the travel times or distances; however, using MI instead of MILES can increase the percentage of correct responses relative to the identification of distances to road junctions or hazards.

show abstract

Why do drivers change route? effect of graphical route information panels

Cited by 3 publications

References 19 publications

To switch travel mode or not? Impact of Smartphone delivered high‐quality multimodal information

To switch travel mode or not? Impact of Smartphone delivered high‐quality multimodal information

Maximizing Expected Coverage of Flow and Opportunity for Diversion in Networked Systems

Analysis of Colored Variable Message Signs for Visibility and Comprehensibility

Contact Info

Product

Resources

About