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http://dx.doi.org/10.15683/kosdi.2021.9.30.589

Indicator of Motorway Traffic Congestion Speed Based On Individual Vehicular Trips  

Chang, Hyunho (Urban Science Institute, College of Urban Science, Incheon National University)
Baek, Junhyeck (Department of Urban Engineering, College of Urban Science, Incheon National University)
Publication Information
Journal of the Society of Disaster Information / v.17, no.3, 2021 , pp. 589-599 More about this Journal
Abstract
Purpose: A reliable indicator of congested traffic speed is essential in providing the information of traffic flow states about motorway sections. The aim of this study is to propose an adaptive indicator of congested speed which is employed for deciding the traffic flow states for individual motorway sections using disaggregated section-based speed data. Method: Typically, the state of traffic flow is categorized into the three: uncongested, mixed, congested states. A method, presented in this study, was developed for identifying boundary speed values of road sections through categorizing the three traffic flow states with individual vehicular speed values. The boundary speed state of each road segment is determined using the speed distributions of mixed and congested traffic states. Result: Analysis results revealed that boundary speed values between mixed and congested states for road sections were similar to those of US and EU criteria (i.e., 48.28~66.0 kph). This indicates that boundary speed values could be different according to road sections. Conclusion: It is expected that the method and indicator, proposed in this study, could be efficaciously used for providing ad-hoc real-time traffic states and computing traffic congestion costs for motorway sections in the era of big data.
Keywords
Big data; Motorway Section; Congestion Speed Indicator; Disaggregated Approach; Separation of Speed States;
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