Impacts of variable message signs on en-route route choice behavior

Zhao, Wenjing; Ma, Zhenliang; Yang, Kui; Huang, Helai; Monsuur, Fredrik; Lee, Jae Young

doi:10.1016/j.tra.2020.07.015

Cited by 16 publications

(10 citation statements)

References 34 publications

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“…(1) Attribute Perception Diferences. Because the individual characteristics and travel characteristics of en-route travelers, as well as each individual's receptivity to information, processing ability, and judgment, are diferent [9], a cognitive bias may arise when travelers perceive route attributes, which may not be precisely consistent with the objective route scheme utility attributes. In this study, we argue that the perception of route attributes by the traveler in an unexpected trafc accident scenario is from a global perspective, and the value of the attributes of the proposed route is compared with the value of the corresponding attributes of other alternative routes to produce the corresponding "value" of the proposed route.…”

Section: Behavior Characteristics Of Route Choice Under Unexpected Ac...mentioning

confidence: 99%

“…Variable message signs (VMS) can provide drivers with spatiotemporal information about trafc and network conditions, where driver route choice behavior is heterogeneous after obtaining the same information [9]. Imants et al [10] focused on the conficting trafc information from various sources and described how en-route trafc information afects route choice with the Bayesian model.…”

Section: Introductionmentioning

confidence: 99%

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Modeling the Traveler’s Route Choice Behavior under Unexpected Accidents

Zhu

Shi

Cui

et al. 2023

Journal of Advanced Transportation

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To investigate the route choice behavior of travelers under unexpected accidents, this study designs four different scenarios of travelers’ route choice behavior experiments according to the severity of unexpected accidents. The bounded rationality characteristics of travelers, such as the time perception difference coefficient, psychological threshold effect coefficient, and scale effect, are introduced into the generalized random regret minimization (GRRM) model. An improved generalized random regret minimization (IGRRM) model is constructed based on travelers’ route choice behavior under unexpected accidents. The collected data of travelers’ route choice results under four different congestion-level scenarios are analyzed by the IGRRM model. The study finds that with the increase in congestion level, travelers are more willing to change the route; during the commute, travelers tend to choose the route with less travel time and angular cost; in the moderate and serious congestion scenarios, travelers no longer reject the detour route; attribute perception difference, scale effect, and psychological threshold effect; affect travelers’ route choice behavior. The IGRRM model based on the route choice behavior of travelers can more accurately characterize the route choice behavior of travelers under unexpected accidents, provide a basis for traffic flow distribution under unexpected accidents, and benefit traffic management departments to take traffic control and guidance measures to ease the traffic congestion caused by unexpected accidents.

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Section: Behavior Characteristics Of Route Choice Under Unexpected Ac...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Modeling the Traveler’s Route Choice Behavior under Unexpected Accidents

Zhu

Shi

Cui

et al. 2023

Journal of Advanced Transportation

View full text Add to dashboard Cite

show abstract

“…The drivers' response to displayed information represents the information-related perceptions of drivers and their degree of trust and acceptance of the information (8)(9)(10)(11)(12). Studies have analyzed the factors that influence driver behavior in VMS environments (1,13) and found that the main contributing factors can be classified under the physical attributes of the VMS, driver characteristics, and trip characteristics.…”

mentioning

confidence: 99%

“…Sharaf et al indicated that the gender and family size of a driver could affect their propensity to switch routes when VMSs simultaneously display multiple types of information and suggest an alternative route ( 8 ). A study using a stated preference questionnaire indicated that the route choice behaviors of experienced drivers are affected by road construction accidents and quantitative delay time ( 13 ).…”

mentioning

confidence: 99%

Validity of Variable Message Sign Information: Is It Influenced by Drivers’ Short-Term Memory?

Ren

Cui

et al. 2023

Transportation Research Record: Journal of the Transportation R

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Variable message signs (VMSs), as a key component of intelligent transportation systems, have been frequently used in the management of urban roads to provide drivers with real-time traffic information. Nevertheless, a lack of unified regulations for VMS design, makes it difficult to accurately determine the validity of VMS information. In practice, inappropriately designed VMSs (e.g., VMSs overloaded with information and long setting distances) are common. In this study, laboratory simulation trials were conducted to assess VMS information validity in relation to the short-term memory (STM) capacity of drivers. Specifically, drivers capacity to easily obtain and respond correctly to valid VMS information based on memorized target information. Sixty participants completed the trials and pre-/postquestionnaires. Subjective evaluation, dynamic information acquisition rate, accuracy, and memory reliability were analyzed to evaluate their relationship with VMS information validity. The results confirmed that STM considering the information demand rate significantly affected the validity of the VMS information. Information validity deteriorated as the information volume and VMS setting distance increased. Reasonable validity was found when memory reliability ranged between 0.85 and 1.5 and the information volume was no more than 90 bits, corresponding to a subjective evaluation of 1, an accuracy of at least 80%, and a suggested STM time of 43.46 s. These criteria would satisfy driver information demand and prevent information redundancy or wasting of resources. These findings provide a basis for determining the thresholds for VMS information to promote practical and user-friendly VMS designs on urban roads.

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“…Other unobserved factors include the driver's (or a family member's) health, work and household duties, or proximity to facilities, such as a gym or a commercial center. Previous analyses suggest that such factors, which we assume to affect driving intensity, play an important role in private travel demand (Gardner & Abraham, 2007;Sun et al, 2014;Zhao et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Three essays on Swiss household energy demand

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Impacts of variable message signs on en-route route choice behavior

Cited by 16 publications

References 34 publications

Modeling the Traveler’s Route Choice Behavior under Unexpected Accidents

Modeling the Traveler’s Route Choice Behavior under Unexpected Accidents

Validity of Variable Message Sign Information: Is It Influenced by Drivers’ Short-Term Memory?

Three essays on Swiss household energy demand

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