This study aims to investigate pedestrian crossing behavior and safety at uncontrolled mid-block crosswalks with different numbers of vehicle lanes. For this purpose, twelve uncontrolled mid-block crosswalks in Wuhan, China were selected to collect data via field investigation. Descriptive statistics were used to analyze pedestrian crossing behavior, and the distribution of pedestrian-vehicle conflicts on different vehicle lanes was given. Three ordered probit (OP) models for pedestrian-vehicle conflicts analysis (PVCA) were established to measure the effects of various factors on pedestrian safety. Descriptive statistical results showed that crosswalks with different numbers of lanes have diverse impacts on pedestrian crossing behavior and safety. As the number of vehicle lanes increases, the proportion of pedestrians adopting the rolling gap crossing mode, crossing the street with others, and changing the speed or path increase accordingly. Moreover, the number of pedestrian-vehicle conflicts at two-way six-lane crosswalks is 5.96 times higher than that of two-lane crosswalks, and 2.04 times higher than that of four-lane crosswalks. From the results of OP models, it was found that pedestrian behavioral characteristics such as rolling gap crossing mode, crossing with others significantly increased the possibility of pedestrian-vehicle conflicts.
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http://dx.doi.org/10.1016/j.aap.2018.12.002 | DOI Listing |
Accid Anal Prev
March 2025
Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hong Kong; Smart Cities Research Institute, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong. Electronic address:
Reckless crossing behaviour is one of the major contributing factors to pedestrian crashes and injuries. The relationship between perceived risk and actual behaviour of pedestrians was examined. However, influences of weather conditions, which is a significant crash contributory factor, on the pedestrian safety perception are less studied.
View Article and Find Full Text PDFIEEE Trans Image Process
March 2025
The goal of pedestrian trajectory retrieval is to infer the multi-camera path of a targeted pedestrian using images or videos from a camera network, which is crucial for passenger flow analytics and individual pedestrian retrieval. Conventional approaches hinge on spatiotemporal modeling, necessitating the gathering of positional information for each camera and trajectory data between every camera pair for the training phase. To mitigate these stringent requirements, our proposed methodology employs solely temporal information for modeling.
View Article and Find Full Text PDFHeliyon
February 2025
University of Bordeaux, INSERM BPH U1219, Bordeaux, F-33000, France.
With pedestrian crossings implicated in a significant proportion of vehicle-pedestrian accidents and the French government's initiatives to improve pedestrian safety, there is a pressing need for efficient, large-scale evaluation of pedestrian crossings. This study proposes the deployment of advanced deep learning neural networks to automate the assessment of pedestrian crossings and roundabouts, leveraging aerial and street-level imagery sourced from Google Maps and Google Street View. Utilizing ConvNextV2, ResNet50, and ResNext50 models, we conducted a comprehensive analysis of pedestrian crossings across various urban and rural settings in France, focusing on nine identified risk factors.
View Article and Find Full Text PDFActa Psychol (Amst)
March 2025
Department of Biomedical Physiology and Kinesiology, Simon Fraser University, Burnaby, BC V5A 1S6, Canada; Institute for Neuroscience and Neurotechnology, Simon Fraser University, Burnaby, BC V5A 1S6, Canada. Electronic address:
Walking in urban settings requires people to negotiate crowds. In these situations, people typically want to maintain a level of personal space around themselves. Recent work on one-versus-one interactions demonstrated that whether one of the pedestrians looked distracted or interacted with an object (e.
View Article and Find Full Text PDFSensors (Basel)
February 2025
School of Mechanical and Automotive Engineering, Qingdao University of Technology, Qingdao 266520, China.
Addressing the traffic safety issues caused by pedestrian-vehicle conflicts during street crossing, this study proposes optimization strategies from both theoretical and technical perspectives. A safety braking distance model is introduced, taking into account pedestrians' psychological safety and vehicle braking processes. Additionally, an active safety warning system for crosswalks has been designed.
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