Identification method of congestion of signal intersection upstream in snow and ice conditions

Long Hai Yang; Xi Qiao Zhang; Lin Fang; Hong Liu

Identification method of congestion of signal intersection upstream in snow and ice conditions

Long Hai Yang
, Xi Qiao Zhang^*
, Lin Fang
, Hong Liu

^*Corresponding author for this work

School of Energy Science and Engineering, Harbin Institute of Technology
Shanghai Municipal Design Institute
Kunming Urban Transport Institute

Research output: Contribution to journal › Article › peer-review

Abstract

To identify the congestion of signalized intersection upstream in snow and ice conditions, a method based on the value of the critical dissipation queue length was proposed. According to car driving theory and vehicle driving characteristics in the congestion interval, driving process of the critical traffic congestion was divided into acceleration, uniform speed and deceleration processes. Congestion identification model at signalized intersection in condition of snow and ice was formulated based on analysis of passing process of queuing vehicles. Upstream congestion threshold was calculated with the calibration parameters under different situation. The model was verified using the actual survey data of an intersection in Harbin city, and show the good fitness of model results and traffic flow in practice.

Original language	English
Pages (from-to)	149-152
Number of pages	4
Journal	Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
Volume	33
Issue number	SUUPPL.1
State	Published - Nov 2013
Externally published	Yes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure
SDG 11 Sustainable Cities and Communities

Keywords

Analysis of the process of moving
Congestion identification in condition of snow and ice
Dissipation queue length
Signalized intersection
Traffic and transportation engineering

Cite this

@article{d2d5dd5b3a254a23833b85b6b0afa8c3,

title = "Identification method of congestion of signal intersection upstream in snow and ice conditions",

abstract = "To identify the congestion of signalized intersection upstream in snow and ice conditions, a method based on the value of the critical dissipation queue length was proposed. According to car driving theory and vehicle driving characteristics in the congestion interval, driving process of the critical traffic congestion was divided into acceleration, uniform speed and deceleration processes. Congestion identification model at signalized intersection in condition of snow and ice was formulated based on analysis of passing process of queuing vehicles. Upstream congestion threshold was calculated with the calibration parameters under different situation. The model was verified using the actual survey data of an intersection in Harbin city, and show the good fitness of model results and traffic flow in practice.",

keywords = "Analysis of the process of moving, Congestion identification in condition of snow and ice, Dissipation queue length, Signalized intersection, Traffic and transportation engineering",

author = "Yang, \{Long Hai\} and Zhang, \{Xi Qiao\} and Lin Fang and Hong Liu",

year = "2013",

month = nov,

language = "英语",

volume = "33",

pages = "149--152",

journal = "Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology",

issn = "1001-0645",

publisher = "Beijing Institute of Technology",

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}

TY - JOUR

T1 - Identification method of congestion of signal intersection upstream in snow and ice conditions

AU - Yang, Long Hai

AU - Zhang, Xi Qiao

AU - Fang, Lin

AU - Liu, Hong

PY - 2013/11

Y1 - 2013/11

N2 - To identify the congestion of signalized intersection upstream in snow and ice conditions, a method based on the value of the critical dissipation queue length was proposed. According to car driving theory and vehicle driving characteristics in the congestion interval, driving process of the critical traffic congestion was divided into acceleration, uniform speed and deceleration processes. Congestion identification model at signalized intersection in condition of snow and ice was formulated based on analysis of passing process of queuing vehicles. Upstream congestion threshold was calculated with the calibration parameters under different situation. The model was verified using the actual survey data of an intersection in Harbin city, and show the good fitness of model results and traffic flow in practice.

AB - To identify the congestion of signalized intersection upstream in snow and ice conditions, a method based on the value of the critical dissipation queue length was proposed. According to car driving theory and vehicle driving characteristics in the congestion interval, driving process of the critical traffic congestion was divided into acceleration, uniform speed and deceleration processes. Congestion identification model at signalized intersection in condition of snow and ice was formulated based on analysis of passing process of queuing vehicles. Upstream congestion threshold was calculated with the calibration parameters under different situation. The model was verified using the actual survey data of an intersection in Harbin city, and show the good fitness of model results and traffic flow in practice.

KW - Analysis of the process of moving

KW - Congestion identification in condition of snow and ice

KW - Dissipation queue length

KW - Signalized intersection

KW - Traffic and transportation engineering

UR - https://www.scopus.com/pages/publications/84891090804

M3 - 文章

AN - SCOPUS:84891090804

SN - 1001-0645

VL - 33

SP - 149

EP - 152

JO - Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology

JF - Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology

IS - SUUPPL.1

ER -

Identification method of congestion of signal intersection upstream in snow and ice conditions

Abstract

UN SDGs

Keywords

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