A traffic safety resilience assessment incorporating conflict risk: application and comparison on two open roads with lateral interferences

Lateral interferences on open roads cause conflicts and delays that dissipate at varying rates, implying that open roads have different risk-absorption capacities. This study develops a traffic safety resilience (TSR) framework combining crossing time-to-collision (CTTC) with time of normal operation recovery (TOR) to drone trajectories from two open roads with five types of lateral interference. Short-CTTC (≤ 2 s) was concentrated within ±20 m of the interference source for pedestrian crossings, pedestrian-lane occupation, and curb parking; rider-lane occupation and merging interactions were more dispersed. Speed recovery often continued after vehicles left the interaction region. The baseline macro-average TSR values were 0.259 for the urban street and 0.307 for the low-grade highway. Extending the recovery window narrowed this difference, indicating that the comparison depends on how recovery is defined. These indicators jointly enable micro-level TSR assessment of open roads with lateral interferences, offering a concise reference for risk absorption and recovery.

Authors

Institutions

Publication Details

Journal
Sustainable and Resilient Infrastructure
Published
2026-10-16
DOI
https://doi.org/10.1080/23789689.2026.2745383
Primary Topic
Traffic and Road Safety
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A traffic safety resilience assessment incorporating conflict risk: application and comparison on two open roads with lateral interferences

Miao Guo, Xiaobing Li, Yaqin Qin, Xuesong Wang et al.
Sustainable and Resilient Infrastructure
Traffic and Road Safety
article

A traffic safety resilience assessment incorporating conflict risk: application and comparison on two open roads with lateral interferences

Miao Guo, Xiaobing Li, Yaqin Qin, Xuesong Wang, Zhengfu Qian, Pengyan Zhao
article en

Abstract

Lateral interferences on open roads cause conflicts and delays that dissipate at varying rates, implying that open roads have different risk-absorption capacities. This study develops a traffic safety resilience (TSR) framework combining crossing time-to-collision (CTTC) with time of normal operation recovery (TOR) to drone trajectories from two open roads with five types of lateral interference. Short-CTTC (≤ 2 s) was concentrated within ±20 m of the interference source for pedestrian crossings, pedestrian-lane occupation, and curb parking; rider-lane occupation and merging interactions were more dispersed. Speed recovery often continued after vehicles left the interaction region. The baseline macro-average TSR values were 0.259 for the urban street and 0.307 for the low-grade highway. Extending the recovery window narrowed this difference, indicating that the comparison depends on how recovery is defined. These indicators jointly enable micro-level TSR assessment of open roads with lateral interferences, offering a concise reference for risk absorption and recovery.

Sustainable and Resilient Infrastructure
Kunming University of Science and Technology (CN), Tongji University (CN), University of Kentucky (US)
National Natural Science Foundation of China
Sustainable cities and communities, Industry, innovation and infrastructure
Openalex Percentile: Top 13%
Traffic and Road Safety
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.