Whether to enter expressway or not? The impact of new variable message sign information

Gan, Hongcheng; Ye, Xin

doi:10.1002/atr.1273

Cited by 11 publications

(8 citation statements)

References 47 publications

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“…Thus, with the release of information, to obtain the coordinate changes and the law of transition of the traffic flow state in road sections within the regional road network accurately is an important precondition for the state estimation of urban road traffic networks. Besides, a traffic administrator can assess the disturbance of such traffic information on the state of the road network, so as to develop traffic guidance strategies that are more reasonable; meanwhile e, it also helps to obtain 2 more accurate predictive values of the traffic flow state, so as to develop road traffic control strategies that are more practical [4,5,6,7].…”

Section: Introductionmentioning

confidence: 99%

A traffic flow state transition model for urban road network based on Hidden Markov Model

et al. 2016

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Traffic guidance and prompt information could induce the change of traffic states on road sections, and in turn the effects of these changes will be transited to their relative upstream and downstream sections, which lead to dynamic variations in traffic states of urban regional road networks. In this paper, the rule of dynamic transition in traffic state of urban road networks under the effect of traffic information is studied. Specifically, the hidden Markov model is selected to represent the dynamic transition process. Then Expectation Maximization (EM) Algorithm is presented for potential traffic state estimation. Finally, verification is carried out through simulation with Variable Message Sign (VMS) selected as the information release terminal and then a certain regional road network in Beijing is chosen as the study object. The results show that the model in this paper can describe transition process of road traffic state under the effect of VMS information, and also can be used for real-time traffic state estimation of urban road networks. The study has both theoretical and practical values in evaluation of service quality of traffic information and in making traffic dispersion and control strategies for traffic management department.

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Section: Introductionmentioning

confidence: 99%

A traffic flow state transition model for urban road network based on Hidden Markov Model

et al. 2016

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“…Based on a stated preference survey in China, Gan and Ye (2013) found that those who are not sensitive toward travel time savings do not have any intention to detour and do not actually detour. Thus, in a follow-up study, respondents stated that the detour likelihood increased with the increase in travel time savings on the alternate route (Gan and Ye, 2015).…”

Section: Literature Reviewmentioning

confidence: 99%

The verbiage in variable message signs and traffic diversion during crash incidents

Acharya

Mekker

2022

JICV

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Purpose WIth limited research on the effects of variable message sign (VMS) message content and verbiage on revealed driver behavior, this study aims to investigate how different verbiage of crash-related messages are related to the diversion rate. Design/methodology/approach Using ordered logit models, the associations of message verbiage with diversion rates during crash incidents were assessed using five years of VMS message history within a section of I-15 in the state of Utah. Findings A significant impact of message verbiage on the diversion rate was observed. Based on the analysis results, the crash message verbiage with the highest diversion was found to be miles to crash + “prepare to stop,” followed by crash location + delay information, miles to crash + “use caution” + lane of the crash, etc. In addition, the diversion rate was found to be correlated to some roadway characteristics (e.g. occupancy in mainline, weather condition and light condition) along with the temporal variations. Research limitations/implications These findings could be used by transportation agencies (e.g. state department of transportation [DOTs]) to make informed decisions about choosing the message verbiage during future crash incidents. This study also revealed that higher diversion rates are associated with a shorter distance between the crash location and VMS device location, recommending increasing the number of VMS devices, particularly in crash-prone areas.

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“…A few studies have explored the effect of vehicle category on driver diversion, with passenger car drivers and professional drivers being considered. Ma et al [46] noted that taxi drivers exhibited lower diversion propensity compared to passenger car drivers, while Gan and Ye [47] did not find differences considering the diversion behaviour of these two populations. Peeta et al [48] noted different diversion behaviour between passenger cars and HGVs.…”

Section: Introductionmentioning

confidence: 99%

Powered‐two‐wheelers and smart cities: the case of variable message signs

Spyropoulou

Impersimi

2020

IET intell. transp. syst

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At present, a number of smart urban mobility solutions exist and furthermore are emerging towards the design of smart cities offering equitable, green and efficient transport. As this concept addresses the needs of all travellers, it is essential to explore the relevance of existing and proposed smart solutions for distinct user categories. Powered-two-wheelers (PTWs) comprise a distinct vehicle category exhibiting specific movement dynamics and characteristics while exhibiting considerable presence in urban areas and increasing ownership trends during the recent years. Thus, PTW needs should be identified and considered in the design of smart cities. This study explores PTW diversion behaviour considering variable message signs (VMS) operation. Relevant data was collected through a stated preference questionnaire survey and diversion propensity was explored through the design of probit models. Survey results indicated that although PTWs believe that VMS fail to address their needs, their attitudes towards them are still positive. Model results exhibited that most of the information elements transmitted via VMS affect PTW diversion behaviour. Other contributory factors, considering PTW diversion included traffic code violation behaviour, rider 'flexibility', age, gender etc. Rider sub-populations, considering riding on the pavement or pedestrianised areas and internet use for traffic information, were also explored.

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Whether to enter expressway or not? The impact of new variable message sign information

Cited by 11 publications

References 47 publications

A traffic flow state transition model for urban road network based on Hidden Markov Model

A traffic flow state transition model for urban road network based on Hidden Markov Model

The verbiage in variable message signs and traffic diversion during crash incidents

Powered‐two‐wheelers and smart cities: the case of variable message signs

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