Pei Liu, Yanyong Guo, Pan Liu, Hongliang Ding et al.
The objective of this study is to explore the contributing risky factors to Autonomous Vehicle (AV) crashes and their interdependencies. AV crash data between 2015 and 2023 were collected from the autonomous vehicle collision report published by California Department of Motor Vehicles (DMV). AV cras...
Quansheng Yue, Yanyong Guo, Tarek Sayed, Pan Liu et al.
Extreme value theory (EVT) models have been frequently utilized to estimate crash risk from traffic conflicts with the peak over threshold commonly used to identify conflict extremes. However, a common problem for the peak over threshold method is the selection of a suitable threshold to distinguish...
Yanyong Guo, Tarek Sayed, Pan Liu, Yao Wu et al.
The use of real-time traffic conflicts for safety studies provide more insight into how important dynamic signal cycle-related characteristics can affect intersection safety. However, such short-time window for data collection raises a critical issue that the observed conflicts are temporally correl...
Yanyong Guo, Tarek Sayed, Mohamed H. Zaki
An analysis of pedestrian walking behavior using gait parameters is presented; it uses automated video analysis to collect pedestrian data at a signalized intersection in Nanjing, China. Two aspects of microscopic pedestrian behavior are considered: First, the walking mechanism represented by pedest...
Chenxiao Zhang, Yongfeng Ma, Tarek Sayed, Yanyong Guo et al.
A major safety hazard for e-bike riders crossing an intersection is encountering heavy vehicles turning right in the same direction, which often results in severe casualties. Recently, some cities in China have implemented right-turn safety improvement treatments (i.e., right-turn yielding rules and...
Chenxiao Zhang, Yongfeng Ma, Tarek Sayed, Yanyong Guo et al.
There has been an increase in the use of the extreme value theory (EVT) approach for conflict-based crash risk estimation and its application such as conducting the evaluation of safety countermeasures. This study proposes a cross-sectional approach for evaluating the effectiveness of a right-turn s...
Quansheng Yue, Yanyong Guo, Pengfei Cui, Guoping Liu et al.
Ensuring corridor safety is essential for efficient transportation and minimizing economic losses. This study analyzes risky driving events—acceleration, deceleration, and overspeed—using over 20 million vehicle trajectories from Nanjing. The study investigates the impact of corridor geometry, traff...
Pengying Ouyang, Yanyong Guo, Pan Liu, Tianyi Chen et al.
Weaving segments, integral to expressway systems, face safety challenges due to frequent lane changes. While previous research has leveraged pre– and post–lane-changing (LC) data for risk estimation, few efforts have assessed time-series characteristics of LC conflict risks. This study proposes an a...
Di Sha, Yanyong Guo, Yue Ding
The objective of this study is the analysis of pedestrian safety at signalized crosswalks by using traffic conflict techniques. Video data was collected at a busy T-leg signalized intersection in Shanghai, China. Pedestrian-vehicle conflicts as well as pedestrian violations were automatically detect...
Chenxiao Zhang, Yongfeng Ma, Tarek Sayed, Yanyong Guo et al.
Increasingly, the collection of multi-source sensing data from heavy vehicles through intelligent networked platforms has become prevalent for safety management and supervision. However, practical approaches for crash risk management and safety evaluation have not been fully developed to capitalize ...
Zhigang Wu, Meng Li, Yanyong Guo, Zhibin Li et al.
Large-scale traffic accidents are often triggered by sudden shockwaves in congested flow, typically caused by unpredictable driving behaviors. The collaboration among connected and autonomous vehicles (CAVs) offer potential to mitigating traffic congestion and accidents, yet it remains vulnerable to...
Pei Liu, Yanyong Guo, Mengmeng Zhang, Yueying Huo
Connected and automated vehicle (CAV) is an effective way to solve traffic safety issues. However, CAV crashes occurred on roads during the past decades. This study aims to investigate the potential influence factors of CAV crash severity. Eight years of crash data between 2015 and 2022 were collect...
Yao Wu, Yanyong Guo, Jian Lü
This study investigates factors that significantly contribute to the severity of electric bike crashes. Two months e-bike crash data were collected in city of Ningbo, China. A random parameters multinomial logit model is developed to account for the potential unobserved heterogeneous effects. The Ma...
Yanyong Guo, Yuanwei Luo, Pengfei Cui, Guoping Liu et al.
Shanze Li, Yansong LONG, Yanyong GUO, Fanxi Kong et al.
To reveal the speed control behaviour and manoeuvring characteristics of direct vehicles that stop-go through signalised intersections, a large-scale field driving test was carried out in Chongqing to collect vehicle data under natural driving conditions. The characteristics of speed, longitudinal a...