Coupling Analysis of Road Network Performance under Edge Random Failure

Exploring the structural and functional coupling of road networks is very important for the in-depth exploration of network performance evaluation. Based on the Space L model, a road network topology structure was constructed. Under the condition of random edge failure, graph theory and random user equilibrium assignment method were used to obtain road network topological and supply–demand metrics. Then, the correlation analysis method was adopted to analyze the coupling relationship between network topological and supply-demand metrics. Finally, a road network in the core area of Nanjing was selected as a case study for verification. The results show that the supply–demand characteristics are more sensitive than topological characteristics under the road’s edge random failures. Among the indicators of network supply-demand characteristics, the correlation between average speed, average delay, and network topological indicators is more significant.

Authors

Institutions

Publication Details

Published
2024-12-11
DOI
https://doi.org/10.1061/9780784485484.310
Primary Topic
Evaluation and Optimization Models
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Coupling Analysis of Road Network Performance under Edge Random Failure

Jiefei Zhang, Houyu Gu, Xuelong Hu, Lei Tang et al.
2 links
Evaluation and Optimization Models
article

Coupling Analysis of Road Network Performance under Edge Random Failure

Jiefei Zhang, Houyu Gu, Xuelong Hu, Lei Tang, Xiaofeng Zhang
article en

Abstract

Exploring the structural and functional coupling of road networks is very important for the in-depth exploration of network performance evaluation. Based on the Space L model, a road network topology structure was constructed. Under the condition of random edge failure, graph theory and random user equilibrium assignment method were used to obtain road network topological and supply–demand metrics. Then, the correlation analysis method was adopted to analyze the coupling relationship between network topological and supply-demand metrics. Finally, a road network in the core area of Nanjing was selected as a case study for verification. The results show that the supply–demand characteristics are more sensitive than topological characteristics under the road’s edge random failures. Among the indicators of network supply-demand characteristics, the correlation between average speed, average delay, and network topological indicators is more significant.

Anhui University of Science and Technology (CN)
Openalex Percentile: Top 72%
Evaluation and Optimization Models
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.