Freeway single and multi-vehicle crash safety analysis: Influencing factors and hotspots-Reference-Cited by-同舟云学术

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Freeway single and multi-vehicle crash safety analysis: Influencing factors and hotspots

Published:2019-11 Issue: Volume:132 Page:105268
ISSN:0001-4575
Container-title:Accident Analysis & Prevention
language:en
Short-container-title:Accident Analysis & Prevention

Author:

Wang Xuesong^ORCID,Feng Mingjie

Funder

International Science & Technology Cooperation Program of China

Science and Technology Commission of Shanghai Municipality

111 Project

Publisher

Elsevier BV

Subject

Public Health, Environmental and Occupational Health,Safety, Risk, Reliability and Quality,Human Factors and Ergonomics

Reference68 articles.

1. Assessing crash occurrence on urban freeways by applying a system of interrelated equations;Abdel-Aty;Transp. Res. Rec.,2006

2. Exploring a bayesian hierarchical approach for developing safety performance functions for a mountainous freeway;Ahmed;Accid. Anal. Prev.,2011

3. Analysis of road crash frequency with spatial models;Aguero-Valverde;Transp. Res. Rec.,2008

4. Multivariate spatial models of excess crash frequency at area level: case of Costa Rica;Aguero-Valverde;Accid. Anal. Prev.,2013

5. A note on modeling vehicle accident frequencies with random-parameters count models;Anastasopoulos;Accid. Anal. Prev.,2009

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1. Unsupervised Approach to Investigate Urban Traffic Crashes Based on Crash Unit, Crash Severity, and Manner of Collision;Journal of Transportation Engineering, Part A: Systems;2024-08

2. Analysis of injury severity of work zone crashes on rural and urban work zones: Accounting for out-of-sample prediction and temporal instability;Accident Analysis & Prevention;2024-08

3. Analyzing the transition from two-vehicle collisions to chain reaction crashes: A hybrid approach using random parameters logit model, interpretable machine learning, and clustering;Accident Analysis & Prevention;2024-07

4. Graph convolutional LSTM algorithm for real-time crash prediction on mountainous freeways;International Journal of Transportation Science and Technology;2024-07

5. Leveraging Machine Learning Algorithms to Predict and Analyze Single-Vehicle and Multi-Vehicle Crash Occurrences on Motorways;Transportation Research Record: Journal of the Transportation Research Board;2024-06-07

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