Estimation of Bimodal Urban Link Travel Time Distribution and Its Applications in Traffic Analysis

Vehicles travelling on urban streets are heavily influenced by traffic signal controls, pedestrian crossings, and conflicting traffic from cross streets, which would result in bimodal travel time distributions, with one mode corresponding to travels without delays and the other travels with delays....
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Yuxiong Ji [verfasserIn] Shengchuan Jiang [verfasserIn] Yuchuan Du [verfasserIn] H. Michael Zhang [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2015

Übergeordnetes Werk:	In: Mathematical Problems in Engineering - Hindawi Limited, 2002, (2015)
Übergeordnetes Werk:	year:2015

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc Journal toc

DOI / URN:	10.1155/2015/615468

Katalog-ID:	DOAJ020839081

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authorswithroles_txt_mv	Yuxiong Ji @@aut@@ Shengchuan Jiang @@aut@@ Yuchuan Du @@aut@@ H. Michael Zhang @@aut@@
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callnumber-first	T - Technology
author	Yuxiong Ji
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topic_title	TA1-2040 QA1-939 Estimation of Bimodal Urban Link Travel Time Distribution and Its Applications in Traffic Analysis
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title	Estimation of Bimodal Urban Link Travel Time Distribution and Its Applications in Traffic Analysis
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title_sort	estimation of bimodal urban link travel time distribution and its applications in traffic analysis
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title_auth	Estimation of Bimodal Urban Link Travel Time Distribution and Its Applications in Traffic Analysis
abstract	Vehicles travelling on urban streets are heavily influenced by traffic signal controls, pedestrian crossings, and conflicting traffic from cross streets, which would result in bimodal travel time distributions, with one mode corresponding to travels without delays and the other travels with delays. A hierarchical Bayesian bimodal travel time model is proposed to capture the interrupted nature of urban traffic flows. The travel time distributions obtained from the proposed model are then considered to analyze traffic operations and estimate travel time distribution in real time. The advantage of the proposed bimodal model is demonstrated using empirical data, and the results are encouraging.
abstractGer	Vehicles travelling on urban streets are heavily influenced by traffic signal controls, pedestrian crossings, and conflicting traffic from cross streets, which would result in bimodal travel time distributions, with one mode corresponding to travels without delays and the other travels with delays. A hierarchical Bayesian bimodal travel time model is proposed to capture the interrupted nature of urban traffic flows. The travel time distributions obtained from the proposed model are then considered to analyze traffic operations and estimate travel time distribution in real time. The advantage of the proposed bimodal model is demonstrated using empirical data, and the results are encouraging.
abstract_unstemmed	Vehicles travelling on urban streets are heavily influenced by traffic signal controls, pedestrian crossings, and conflicting traffic from cross streets, which would result in bimodal travel time distributions, with one mode corresponding to travels without delays and the other travels with delays. A hierarchical Bayesian bimodal travel time model is proposed to capture the interrupted nature of urban traffic flows. The travel time distributions obtained from the proposed model are then considered to analyze traffic operations and estimate travel time distribution in real time. The advantage of the proposed bimodal model is demonstrated using empirical data, and the results are encouraging.
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title_short	Estimation of Bimodal Urban Link Travel Time Distribution and Its Applications in Traffic Analysis
url	https://doi.org/10.1155/2015/615468 https://doaj.org/article/355afa013e2c49f09eb46d8e2e7ae25e http://dx.doi.org/10.1155/2015/615468 https://doaj.org/toc/1024-123X https://doaj.org/toc/1563-5147
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Estimation of Bimodal Urban Link Travel Time Distribution and Its Applications in Traffic Analysis

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