Reliability of variable message signs information: A field experiment study in Chongqing

Du, Jianwei; Ren, Gang; Liu, Wei; Yang, Guangchuan; Li, Haojie; Li, Dawei

doi:10.1016/j.trf.2021.11.002

Cited by 6 publications

(10 citation statements)

References 34 publications

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“…where M dy t ð Þ i is the amount of information obtained by the driver after t seconds of recognition of a VMS; s is the driver's dynamic information acquisition rate; and I i is the overall information of a VMS (in bits), calculated by the model proposed in a previous study (2),…”

Section: Dynamic Information Acquisition Of Driversmentioning

confidence: 99%

“…n is the number of independent elements, which can clearly express their meanings without combination (such as color and image); m is the number of combinations of the same type of elements on the traffic sign required to express a complete meaning, for example, Chinese characters in road names or in safety information; and I s 0 is the mean amount of information for each combined type (in bits). The detailed process for calculating the amount of information displayed on the VMS can be found in a study by Du et al (2).…”

Section: Dynamic Information Acquisition Of Driversmentioning

confidence: 99%

“…While maneuvering, a driver receives the stimulus of the VMS information through the visual senses and subsequently compares and integrates the stimulus with prior information formed in the brain. The driver determines the category of the stimulus, defines the key information, and finally obtains the required information ( 2 ). Effectively obtaining the desired information is the first step in forming a memory.…”

Section: Theoretical Frameworkmentioning

confidence: 99%

“…VMSs frequently display information related to dynamic regulations and traffic scenarios. Currently, the majority of VMSs display information in text and/or pictograms using LED dot matrices ( 2 , 3 ). As preferable media for presenting information, VMSs are expected to influence the behavior of drivers or guide their route selection ( 4 ).…”

mentioning

confidence: 99%

“…Information overload is a critical factor in VMS intelligibility. Several driver-based studies incorporating aspects of cognition, psychological expectations for perceiving information, and information theory have analyzed the impact of VMSs ( 2 , 32 , 33 ). Reaction times were found to increase with an increase in the amount of information displayed on the VMSs, that is, overload could result in a high cognitive workload and subsequent operational errors.…”

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confidence: 99%

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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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Section: Dynamic Information Acquisition Of Driversmentioning

confidence: 99%

Section: Dynamic Information Acquisition Of Driversmentioning

confidence: 99%

Section: Theoretical Frameworkmentioning

confidence: 99%

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confidence: 99%

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confidence: 99%

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