Performance of transportation network under perturbations: Reliability, vulnerability, and resilience
We review recent studies on transportation network performance under perturbations. Three
representative concepts relating to network performance are covered: reliability …
representative concepts relating to network performance are covered: reliability …
The station-free sharing bike demand forecasting with a deep learning approach and large-scale datasets
The station-free sharing bike is a new sharing traffic mode that has been deployed in a large
scale in China in the early 2017. Without docking stations, this system allows the sharing …
scale in China in the early 2017. Without docking stations, this system allows the sharing …
Association rule analysis of factors contributing to extraordinarily severe traffic crashes in China
Introduction This study aimed to investigate the contributing factors to serious casualty traffic
crashes and their interdependency in China. Serious casualty crashes are defined as …
crashes and their interdependency in China. Serious casualty crashes are defined as …
Statistical analysis of the patterns and characteristics of connected and autonomous vehicle involved crashes
Introduction This study aimed to investigate the characteristics and patterns of the connected
and autonomous vehicle (CAV) involved crashes. Method: The crash data were collected …
and autonomous vehicle (CAV) involved crashes. Method: The crash data were collected …
Discovering injury severity risk factors in automobile crashes: A hybrid explainable AI framework for decision support
Millions of car crashes occur annually in the US, leaving tens of thousands of deaths and
many more severe injuries. Thus, understanding the most impactful contributors to severe …
many more severe injuries. Thus, understanding the most impactful contributors to severe …
A vision‐based video crash detection framework for mixed traffic flow environment considering low‐visibility condition
In this paper, a vision‐based crash detection framework was proposed to quickly detect
various crash types in mixed traffic flow environment, considering low‐visibility conditions …
various crash types in mixed traffic flow environment, considering low‐visibility conditions …
[HTML][HTML] Application of Extremely Randomised Trees for exploring influential factors on variant crash severity data
F Afshar, S Seyedabrishami, S Moridpour - Scientific reports, 2022 - nature.com
Crash severity models play a crucial role in evaluating the influencing factors in the severity
of traffic crashes. In this study, Extremely Randomised Tree (ERT) is used as a machine …
of traffic crashes. In this study, Extremely Randomised Tree (ERT) is used as a machine …
Optimized structure learning of Bayesian Network for investigating causation of vehicles' on-road crashes
A vehicle's crash can be seen as a failure of microscopic road transportation system. The
causal investigation of vehicles' crashes has drawn much attention from academia and …
causal investigation of vehicles' crashes has drawn much attention from academia and …
Features injected recurrent neural networks for short-term traffic speed prediction
L Qu, J Lyu, W Li, D Ma, H Fan - Neurocomputing, 2021 - Elsevier
Accurate traffic speed forecasting is critical in advanced transportation management and
traveler route planing. Considering the important influences of spatial–temporal factors and …
traveler route planing. Considering the important influences of spatial–temporal factors and …
Analyzing the transition from two-vehicle collisions to chain reaction crashes: A hybrid approach using random parameters logit model, interpretable machine learning …
SA Samerei, K Aghabayk - Accident Analysis & Prevention, 2024 - Elsevier
Chain reaction crashes (CRC) begin with a two-vehicle collision and rapidly intensify as
more vehicles get directly involved. CRCs result in more extensive damage compared to two …
more vehicles get directly involved. CRCs result in more extensive damage compared to two …