Review of Driver Behavior Characteristics and Hazard Perception Enhancement in Low‐Illumination Environments

Low‐illumination environments significantly affect drivers’ behavior characteristics and hazard perception, making it one of the key factors contributing to the high frequency of traffic accidents in such conditions. Although nighttime driving accounts for a relatively small proportion of total driving mileage, the associated accident risk is significantly higher than during the day. This paper analyze the mechanisms of changes in drivers’ visual behavior, physiological and psychological states, and speed control characteristics under low‐illumination conditions and investigated the impact of individual factors (such as age, gender, and driving experience) and external environments on hazard perception. It summarized various existing training methods aimed at improving hazard perception and further discusses the quantification models for hazard perception. Finally, it summarized the limitations of the current research and explores future research directions, with the aim of providing theoretical and technical support for reducing traffic accident risks in low‐illumination​ environments.

Authors

Institutions

Publication Details

Journal
Journal of Advanced Transportation
Published
2025-01-01
DOI
https://doi.org/10.1155/atr/2554540
Citations
1
Primary Topic
Traffic and Road Safety
Type
article
Field-Weighted Citation Impact
1.30

Funders

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

Review of Driver Behavior Characteristics and Hazard Perception Enhancement in Low‐Illumination Environments

Bin Zhou, Jing Liu, Pengfei Feng
1 citations
Journal of Advanced Transportation
Traffic and Road Safety
1.30
article

Review of Driver Behavior Characteristics and Hazard Perception Enhancement in Low‐Illumination Environments

Bin Zhou, Jing Liu, Pengfei Feng
article en
1 citations

Abstract

Low‐illumination environments significantly affect drivers’ behavior characteristics and hazard perception, making it one of the key factors contributing to the high frequency of traffic accidents in such conditions. Although nighttime driving accounts for a relatively small proportion of total driving mileage, the associated accident risk is significantly higher than during the day. This paper analyze the mechanisms of changes in drivers’ visual behavior, physiological and psychological states, and speed control characteristics under low‐illumination conditions and investigated the impact of individual factors (such as age, gender, and driving experience) and external environments on hazard perception. It summarized various existing training methods aimed at improving hazard perception and further discusses the quantification models for hazard perception. Finally, it summarized the limitations of the current research and explores future research directions, with the aim of providing theoretical and technical support for reducing traffic accident risks in low‐illumination​ environments.

Journal of Advanced TransportationVol. 2025(1)
Anhui Jianzhu University (CN), Hefei University of Technology (CN), Anhui Sanlian University (CN)
National Natural Science Foundation of China, Anhui Jianzhu University
Openalex Percentile: Top 20%
Traffic and Road Safety
1.30
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.