Accident prediction accuracy assessment for highway-rail grade crossings using random forest algorithm compared with decision tree

X Zhou, P Lu, Z Zheng, D Tolliver, A Keramati - Reliability Engineering & …, 2020 - Elsevier
Safety is a major concern of transportation planners and engineers in their design of
highway rail grade crossings (HRGCs). Safety agencies rely on prediction models to …

Accident and hazard prediction models for highway–rail grade crossings: a state-of-the-practice review for the USA

OF Abioye, MA Dulebenets, J Pasha, M Kavoosi… - Railway engineering …, 2020 - Springer
Highway–rail grade crossings (HRGCs) are one of the most dangerous segments of the
transportation network. Every year numerous accidents are recorded at HRGCs between …

What can we learn from autonomous vehicle collision data on crash severity? A cost-sensitive CART approach

S Zhu, Q Meng - Accident Analysis & Prevention, 2022 - Elsevier
Autonomous vehicles (AVs) are emerging in the automobile industry with potential benefits
to reduce traffic congestion, improve mobility and accessibility, as well as safety. According …

Using data mining techniques to predict the severity of bicycle crashes

G Prati, L Pietrantoni, F Fraboni - Accident Analysis & Prevention, 2017 - Elsevier
To investigate the factors predicting severity of bicycle crashes in Italy, we used an
observational study of official statistics. We applied two of the most widely used data mining …

A classification tree approach to identify key factors of transit service quality

J De Oña, R De Oña, FJ Calvo - Expert Systems with Applications, 2012 - Elsevier
A key aspect to take into consideration when develo** indices to evaluate transit service
quality is to determine how much weight passengers give to each attribute when making a …

Safety and associated parameters influencing performance of rail road grade crossings: A critical review of state of the art

AK Vivek, T Khan, SS Mohapatra - Journal of safety research, 2021 - Elsevier
Abstract Introduction: Railroad grade crossings (RRGCs) have emerged as critical
transportation infrastructures from the point of safety and operational aspects because two …

Using hierarchical tree-based regression model to examine university student travel frequency and mode choice patterns in China

G Zhan, X Yan, S Zhu, Y Wang - Transport Policy, 2016 - Elsevier
This paper applies a nonparametric statistical method, hierarchical tree-based regression
(HTBR) model, to explore university student travel frequency and mode choice patterns in …

Predicting the use frequency of ride-sourcing by off-campus university students through random forest and Bayesian network techniques

M Aghaabbasi, ZA Shekari, MZ Shah… - … Research Part A: Policy …, 2020 - Elsevier
This study used a survey technique to investigate factors that motivate the adoption and the
usage frequency of ride-sourcing among students in a Malaysia public university. Two of the …

Strategies to mitigate safety and associated problems at gated rail road grade crossing: A structural equation modelling approach

AK Vivek, S Gupta, T Khan, SS Mohapatra - Transport policy, 2024 - Elsevier
It is globally accepted that gates at rail road grade crossings (RRGCs) are more effective at
preventing collisions between road users and trains than other types of traffic control devices …

Driver behaviour at rail level crossings: Responses to flashing lights, traffic signals and stop signs in simulated rural driving

MG Lenné, CM Rudin-Brown, J Navarro, J Edquist… - Applied ergonomics, 2011 - Elsevier
Australian road and railway authorities have made a concerted effort to reduce the number
of rail level crossings, particularly the higher risk passive crossings that are protected by …