Article
Green & Sustainable Science & Technology
Dainora Juozeviciute, Vytautas Grigonis
Summary: This study aims to examine the effectiveness of one-level signalized intersections with exclusive pedestrian phases in reducing vehicle-pedestrian crashes resulting in pedestrian injury or fatality. The analysis conducted in Vilnius reveals that the implementation of exclusive pedestrian phases without diagonal crossing at signalized intersections has led to a significant reduction in pedestrian accidents.
Article
Transportation
Zeljko Saric, Xuecai Xu, Daiquan Xiao, Joso Vrkljan
Summary: This study used a panel mixed ordered probit model to investigate the severity of pedestrian-vehicle crashes at intersections and identified influencing factors. The results suggested that the proposed model could effectively address the heterogeneity issue and determine the factors contributing to injury severity in such crashes.
EUROPEAN TRANSPORT RESEARCH REVIEW
(2021)
Article
Public, Environmental & Occupational Health
Emre Kuskapan, Mohammad Ali Sahraei, Merve Kayaci Codur, Muhammed Yasin Codur
Summary: The present research aims to determine hotspot areas at signalized intersections in Erzurum, Turkey, and develop a model for pedestrian-vehicle crash injuries. By using a comprehensive algorithm and collecting relevant data, the results suggest that specific variables have a significant impact on pedestrian-vehicle crashes. This study is of great importance for improving traffic facility management and reducing accident risks.
JOURNAL OF TRANSPORT & HEALTH
(2022)
Article
Green & Sustainable Science & Technology
Chiara Gruden, Irena Istoka Otkovic, Matjaz Sraml
Summary: Research shows that checking social media apps at signalized intersections significantly increases pedestrians' reaction and crossing times, while decreasing crossing speeds. Additionally, pedestrians spent the majority of their time looking at their smartphones, with less interest in other street elements.
Article
Engineering, Civil
Jiawen Wang, Chengcheng Yang, Jing Zhao
Summary: This study analyzed the impact of setting exclusive pedestrian phase on traffic efficiency and proposed EPP setting conditions that consider pedestrian-vehicle interaction. The results showed that pedestrian-vehicle interaction significantly affects the total delay of traffic participants at intersections, and the vehicle yielding rate plays a significant role in minimizing delay increments after implementing EPP.
JOURNAL OF ADVANCED TRANSPORTATION
(2021)
Article
Ergonomics
Roja Ezzati Amini, Kui Yang, Constantinos Antoniou
Summary: A conflict risk evaluation model is developed to assess the safety level of pedestrian conflict with other road users. Surrogate safety indicators are employed to measure road users' temporal and spatial proximity during a conflict, and thresholds are determined through the application of various methods to separate potential critical conflicts.
ACCIDENT ANALYSIS AND PREVENTION
(2022)
Article
Engineering, Industrial
Abhinav Kumar, Indrajit Ghosh
Summary: Designing crosswalks at signalized intersections aims to enhance pedestrian safety, but signal violations by pedestrians in India still pose a high risk. This study examines the prevalence and factors influencing pedestrian signal violations, as well as the conflicts and severity levels during violations. The results highlight the importance of engineering countermeasures, education, and enforcement to address noncompliance behavior among pedestrians.
Article
Green & Sustainable Science & Technology
Yao Wu, Yanyong Guo, Wei Yin
Summary: The study developed real-time safety models for pedestrian red-light running using traffic data, showing that including more variables in the model improved its fit. Results indicate that pedestrian volume, ratio of males, ratio of pedestrians on phone talking, pedestrian waiting time, green ratio, signal type, and length of crosswalk are significantly associated with red-light running behavior.
Article
Ergonomics
Di Yang, Kaan Ozbay, Kun Xie, Hong Yang, Fan Zuo
Summary: Traditional safety evaluation methods based on data aggregation may oversimplify safety risk patterns at signalized intersections, limiting high-resolution analysis. This study introduces a new functional data analysis approach for modeling and comparing safety risk patterns among different traffic movements.
ACCIDENT ANALYSIS AND PREVENTION
(2021)
Article
Ergonomics
Alireza Salehian, Kayvan Aghabayk, MohammadAli Seyfi, Nirajan Shiwakoti
Summary: This study aimed to investigate the severity of pedestrian injuries sustained on rural roads in the UK, including crashes at intersections and non-intersections. The STATS19 dataset from 2015 to 2019 was used, and a Latent Class Analysis and Ordered Probit model were employed to analyze the factors contributing to pedestrian injuries. The study found that various factors had distinct effects on the severity of pedestrian injuries at intersections and non-intersections. The study proposes measures to improve lighting conditions, enhance pedestrian infrastructure, reduce speed limits in crash-prone areas, and promote education and awareness among pedestrians and drivers.
ACCIDENT ANALYSIS AND PREVENTION
(2023)
Article
Engineering, Civil
Qun Chen, Shi Ye, Lu Chen
Summary: This study investigates the factors affecting pedestrian crossing decisions under different conditions and finds that there is still a high risk for pedestrians while crossing the road.
TRANSPORTATION RESEARCH RECORD
(2023)
Article
Public, Environmental & Occupational Health
Anubis Alberto Navarro-Rosas, Saul Antonio Obregon-Biosca
Summary: This study analyzes the factors influencing pedestrian compliance with traffic signals and risky behaviors through observation and surveys, identifying key variables and revealing correlations among influencing factors.
JOURNAL OF TRANSPORT & HEALTH
(2022)
Article
Ergonomics
Wenqiang Chen, Tao Wang, Yongjie Wang, Qiong Li, Yueying Xu, Yuchen Niu
Summary: The Lane-based Distance-Velocity model (LDV) is proposed to investigate pedestrian-vehicle interaction at non-signalized crosswalks, revealing that taxi drivers have a deliberate violation rate double that of private car drivers, and taxis are more likely to create dangerous or risky crossing situations for pedestrians.
ACCIDENT ANALYSIS AND PREVENTION
(2022)
Article
Ergonomics
Ziqian Zhang, Haojie Li, Haodong Hu, Gang Ren
Summary: This study evaluates the safety effectiveness of yielding camera in consecutive pedestrian-vehicle conflicts using Unmanned Aerial Vehicle (UAV) and roadside camera data. The results show that yielding camera can reduce both slight and severe conflicts in the primary conflict, but increase slight conflicts in the secondary conflict. Furthermore, primary conflict related factors have significant effects on the severity of the secondary conflict.
ACCIDENT ANALYSIS AND PREVENTION
(2022)
Article
Engineering, Civil
Yingying Ma, Zihao Zhang, Jiabin Wu
Summary: This study proposes a SICP model to predict a straight-left traffic flow conflict at signalized intersections. The model incorporates the spatial-temporal distribution of conflicts in a heat map and considers the impact of vehicle movement characteristics. It establishes a vehicle-vehicle conflict probability prediction model by integrating horizontal and vertical arrival probabilities. The experimental results confirm the effectiveness of the SICP model in evaluating the safety level of signalized intersections.
JOURNAL OF ADVANCED TRANSPORTATION
(2022)
Article
Energy & Fuels
Lin Hu, Yao Ye, Ying Bo, Jing Huang, Qingtao Tian, Xiaojian Yi, Qiqi Li
Summary: This paper proposes a performance evaluation method based on MCPE-DEKF for power battery packs, addressing consistency analysis and cell sorting issues, while enhancing SOC estimation accuracy and adaptability. The results show improved online estimation RMSE for battery packs and cells, as well as an offline evaluation framework for cell grading and sorting. The proposed approach integrates online and offline strategies to enhance reliability in battery pack performance evaluation.
Article
Engineering, Aerospace
Qiqi Li, Lijia Wu, Lin Hu, Xiujuan Miao, Xin Liu, Tiefang Zou
Summary: In this study, a three-dimensional beam lattice structure with negative Poisson's ratio effect was proposed using sinusoid-shaped beams. The compression characteristics of the structure were investigated through axial compression experiments and simulations. The structure exhibited strong negative Poisson's ratio effect and excellent energy absorption performance. The anisotropic features and deformation modes of the structure were analyzed, and the effects of compression direction, amplitude, and wavenumber were considered. The structure showed better performance in terms of negative Poisson's ratio effect and energy absorption when loaded in the z and y axes directions compared to the x-axis. The structure also exhibited a variation in Poisson's ratio during compression.
AEROSPACE SCIENCE AND TECHNOLOGY
(2023)
Article
Engineering, Electrical & Electronic
Lin Hu, Haibo Li, Ping Yi, Jing Huang, Miao Lin, Hong Wang
Summary: Automatic emergency braking (AEB) system plays a crucial role in improving road traffic safety by avoiding collisions and minimizing impact forces. However, current research on the AEB system mainly focuses on car-to-car and car-to-pedestrian collisions. In the context of China's mixed traffic characteristics and frequent car-to-two-wheeler collisions, studying the AEB system's effectiveness in preventing such accidents is of great significance for enhancing its overall performance.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Engineering, Civil
Qiqi Li, Lijia Wu, Lin Hu, Eric Li, Tiefang Zou, Xin Liu
Summary: This study proposes four lotus root-shaped bio-inspired porous lattice structures (BPSs) with excellent mechanical properties and light weight. The investigation shows that these BPSs have uniform structural stiffness and excellent energy absorption properties, displaying stable deformation modes.
THIN-WALLED STRUCTURES
(2023)
Article
Green & Sustainable Science & Technology
Danqi Wang, Junyuan Zhang, Shihang Wang, Lin Hu
Summary: This research explores the energy absorption principle of the front-end structure during frontal vehicular crashes and provides an effective optimization method for managing the crash energy. The study also derives qualitative rules guiding crash energy management based on the analysis of the sensitivities of the crash pulse decomposition scheme to evaluation indexes.
Article
Mechanics
Qiqi Li, Liuyu Zhan, Lin Hu, Xiujuan Miao, Tiefang Zou, Xin Liu
Summary: This study proposes a straw-shaped structure inspired by the folds of straw, and two samples are prepared using selective laser sintering technology. The samples can spontaneously recover to their original shapes after compression experiments. The structure shows significant non-stable and multi-stable properties, and the deformation mode is similar to stacked porcelain bowls. The study also discusses the potential applications of these structures and provides a valuable reference for the study of non-stable structures.
COMPOSITE STRUCTURES
(2023)
Article
Engineering, Civil
Kai Gao, Xunhao Li, Bin Chen, Lin Hu, Jian Liu, Ronghua Du, Yongfu Li
Summary: In a mixed traffic environment, accurately predicting the lane change intentions and trajectories of vehicles is a great challenge for autonomous driving. This paper proposes a dual Transformer model that includes an intention prediction model and a trajectory prediction model, enabling the autonomous vehicle to extract social correlations and obtain prior knowledge. Experimental results show that the model significantly improves accuracy compared to existing models, demonstrating its potential for designing advanced perceptual systems for autonomous vehicles.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
Changlong Zhang, Fan Li, Jian Ou, Pengcheng Xie, Weitian Sheng
IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE
(2023)
Article
Engineering, Electrical & Electronic
Linqiang Hu, Wanjun Lei, Ruixiang Li, Yichao Gao
Summary: This article proposes a graphic weighing factor design method to solve the weighting factor design problem in multiobjective FCS-MPC. The method involves incorporating discrete control variables into the prediction model to determine the state boundaries for each control objective under all system states. The priorities and weighting factors of the control objectives are then determined by adjusting the intersection area of these state boundaries, and operating condition feedback is introduced for adaptive adjusting of the weighting factors to ensure controller robustness.
IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS
(2023)
Article
Public, Environmental & Occupational Health
Lin Hu, Yahao Song, Fang Wang, Miao Lin
Summary: This study investigates the differences in injury severity of riders in vehicle-two-wheeler accidents involving different fault parties. Through the analysis of various impact factors, including human, vehicle, and road factors, suggestions for improvement are made to enhance rider safety and guide future regulations on liability allocation.
TRAFFIC INJURY PREVENTION
(2023)
Article
Transportation Science & Technology
Jing Huang, Wei Wei, Xiaoyan Peng, Lin Hu, Huiqin Chen
Summary: This study proposes a driver mental load identification model that adapts to urban road traffic scenarios. The model can quickly and accurately discriminate driving scenes and identify driver mental load, thereby improving the effectiveness of driver mental load identification.
TRANSPORTATION SAFETY AND ENVIRONMENT
(2023)
Article
Computer Science, Artificial Intelligence
Jing Huang, Yang Peng, Lin Hu
Summary: This research aims to improve driving safety by recognizing the driver's mental load and emotional states. The proposed improved feature selection algorithm and multilayer stacking ensemble learning method have been validated to enhance the accuracy and reliability of driver state detection.
EXPERT SYSTEMS WITH APPLICATIONS
(2024)
Article
Transportation Science & Technology
Lin Hu, Xiaotong Wu, Xinting Hu, Fang Wang, Ning Wu
Summary: Spatial analysis using GIS was conducted to identify hot spots of electric bike crashes in Changsha, China. Risk factors leading to different severities of crashes were studied using the Ordered Probit model. The study found that age, illegal behavior, collision type, and road factors were the main influencing variables.
TRANSPORTATION SAFETY AND ENVIRONMENT
(2022)
