Locating Traffic Information Sources in Urban Areas

Gong, Hang; Wang, Yuming; Qu, Yingchun; He, Kun; Wang, Pu

doi:10.1061/9780784479896.014

Cited by 3 publications

(2 citation statements)

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“…Tese "driver sources" are built on residential districts and dynamic trip origins, both based on trafc fow analysis. However, Gong et al [34] estimated the destination spatial distribution of vehicles in the research area and analyzed the characteristics of the "main trafc destinations." To analyze the main area causing the most congestion of the whole city, Li et al [35] proposed an algorithm to identify congested road segments and construct congestion propagation graphs to model congestion propagation in urban road networks.…”

Section: Introductionmentioning

confidence: 99%

Expressway Usage Pattern Analysis Based on Tollgate Data: A Case Study of the Shandong Province, China

Wang,

Ding,

Wang

et al. 2023

Journal of Advanced Transportation

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Expressway transportation is an essential part of regional development. An efficient expressway system can enhance cities’ connectivity and coordinate long-distance trips between urban areas. Understanding how travel demand affects the flow of expressways is crucial to designing an efficient expressway management system. However, congested expressways are substantial obstacles to unimpeded expressway travel. Here, we explore the relationship between demand origin locations and congested expressways. We extract the time-varying OD demand matrix from empirical tollgate data collected in Shandong province, China. The incremental traffic assignment method is introduced to obtain the traffic flow of expressway road segments. It was found that congested expressways were generated due to only a few origin locations. In addition, expressway congestion during peak hours could be effectively alleviated by controlling the travel demand of these origin locations. Therefore, the proposed method can provide a novel perspective for expressway management.

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Section: Introductionmentioning

confidence: 99%

Expressway Usage Pattern Analysis Based on Tollgate Data: A Case Study of the Shandong Province, China

Wang,

Ding,

Wang

et al. 2023

Journal of Advanced Transportation

Self Cite

View full text Add to dashboard Cite

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“…Taxi GPS data were used to obtain real‐time vehicle speed for adjusting the intensity of traffic control. To reduce the influence of traffic control on travellers with limited connections to the bottleneck roads, the sources of vehicles [8, 9, 31, 32] were analysed to pinpoint the effective traffic control intersections. Finally, a genetic algorithm is generated to calculate the dynamic traffic control strength at each control intersection.…”

Section: Introductionmentioning

confidence: 99%