2022
DOI: 10.3390/ijerph19084534
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Level of Service Model of the Non-Motorized Vehicle Crossing the Signalized Intersection Based on Riders’ Perception Data

Abstract: This article aims to analyze the factors affecting the LOS (level of service) of non-motorized vehicles crossing the signalized intersection and to construct an appropriate method to evaluate the LOS. Aiming at the mixed non-motorized traffic flow of electric vehicles and bicycles in the Chinese metropolis, the delay model in the highway capacity manual (HCM) was modified by taking two new factors into account: the pedestrian traffic rule compliance rate and the fuzzy perception of arrival rate in reality. The… Show more

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Cited by 6 publications
(4 citation statements)
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“…Level of Service (LOS) adalah salah satu metode yang efektif diterapkan untuk merancang dan mengatur pengaturan waktu sinyal di persimpangan. LOS berisi beberapa karakteristik yang terukur dan tundaan adalah salah satu faktor paling signifikan yang perlu dipelajari lebih lanjut (Ye, et al, 2022). Tundaan pelayanan didefinisikan sebagai tundaan yang dialami oleh kendaraan di garis berhenti saat menunggu kesempatan untuk memasuki simpang (Ashalatha & Chandra, 2011).…”
Section: Tundaanunclassified
“…Level of Service (LOS) adalah salah satu metode yang efektif diterapkan untuk merancang dan mengatur pengaturan waktu sinyal di persimpangan. LOS berisi beberapa karakteristik yang terukur dan tundaan adalah salah satu faktor paling signifikan yang perlu dipelajari lebih lanjut (Ye, et al, 2022). Tundaan pelayanan didefinisikan sebagai tundaan yang dialami oleh kendaraan di garis berhenti saat menunggu kesempatan untuk memasuki simpang (Ashalatha & Chandra, 2011).…”
Section: Tundaanunclassified
“…The influencing factors of accident severity were divided into the driving behavior and driver characteristics for automobiles and two-wheeled vehicles, road characteristics, peak time, and environmental characteristics [19][20][21]. This paper collated the data of automobile to two-wheeler traffic accidents in Guilin, including 24 indicators from four aspects.…”
Section: Sample Set Quantization and Data Discretizationmentioning
confidence: 99%
“…The prediction results show that the proposed method in this study can significantly improve the prediction accuracy of vehicle acceleration. Ye et al [23] analyzed the factors affecting the LOS (level of service) of non-motorized vehicles crossing the signalized intersection, aiming at the mixed non-motorized traffic flow of electric vehicles and bicycles in the Chinese metropolis. Liu et al [24] analyzed the complex coupling relationships among accident factors contributing to the automobile and two-wheeler traffic accidents.…”
Section: Research On Traffic Safety For Cyclistsmentioning
confidence: 99%