Spatio-Temporal Characteristics of Traffic Congestion and Traffic Emissions for Urban Expressway

The quantitative analysis of traffic conditions can provide valuable insights for effective traffic operations and management. Existing studies have predominantly focused on analyzing traffic congestion on highways, with limited emphasis on evaluating traffic conditions on urban arterial roads. Therefore, the primary objective of this study is to utilize field data from the expressways in Shenzhen, China, for quantifying traffic congestion and estimating traffic emissions. Three traffic congestion indicators are employed to assess the levels of traffic congestion. Based on the research findings, it is observed that these indicators effectively reflect the traffic congestion situation on urban expressways using the measured data. Threshold analysis for traffic congestion is also conducted based on the measured data, along with an exploration of the spatio-temporal distribution of traffic emissions.

Authors

Institutions

Publication Details

Published
2024-12-11
DOI
https://doi.org/10.1061/9780784485484.294
Primary Topic
Vehicle emissions and performance
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Spatio-Temporal Characteristics of Traffic Congestion and Traffic Emissions for Urban Expressway

Gang Ren, Jiefei Zhang, Jianhua Song, Weihan Chen et al.
Vehicle emissions and performance
article

Spatio-Temporal Characteristics of Traffic Congestion and Traffic Emissions for Urban Expressway

Gang Ren, Jiefei Zhang, Jianhua Song, Weihan Chen, Yue Deng, Qi Cao
article en

Abstract

The quantitative analysis of traffic conditions can provide valuable insights for effective traffic operations and management. Existing studies have predominantly focused on analyzing traffic congestion on highways, with limited emphasis on evaluating traffic conditions on urban arterial roads. Therefore, the primary objective of this study is to utilize field data from the expressways in Shenzhen, China, for quantifying traffic congestion and estimating traffic emissions. Three traffic congestion indicators are employed to assess the levels of traffic congestion. Based on the research findings, it is observed that these indicators effectively reflect the traffic congestion situation on urban expressways using the measured data. Threshold analysis for traffic congestion is also conducted based on the measured data, along with an exploration of the spatio-temporal distribution of traffic emissions.

Anhui University of Science and Technology (CN), Southeast University (BD)
Sustainable cities and communities, Climate action
Openalex Percentile: Top 76%
Vehicle emissions and performance
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.