[HTML][HTML] Overview of traffic safety aspects and design in road tunnels
S Bassan - IATSS research, 2016 - Elsevier
This paper reviews aspects of traffic safety and behavior of drivers in road tunnels based on
several case studies of traffic accidents along the traffic zones of tunnel alignment (entrance …
several case studies of traffic accidents along the traffic zones of tunnel alignment (entrance …
Analytic methods in accident research: Methodological frontier and future directions
FL Mannering, CR Bhat - Analytic methods in accident research, 2014 - Elsevier
The analysis of highway-crash data has long been used as a basis for influencing highway
and vehicle designs, as well as directing and implementing a wide variety of regulatory …
and vehicle designs, as well as directing and implementing a wide variety of regulatory …
Refined-scale panel data crash rate analysis using random-effects tobit model
Random effects tobit models are developed in predicting hourly crash rates with refined-
scale panel data structure in both temporal and spatial domains. The proposed models …
scale panel data structure in both temporal and spatial domains. The proposed models …
On the interpretability of machine learning methods in crash frequency modeling and crash modification factor development
Abstract Machine learning (ML) model interpretability has attracted much attention recently
given the promising performance of ML methods in crash frequency studies. Extracting …
given the promising performance of ML methods in crash frequency studies. Extracting …
Real-time crash risk prediction in freeway tunnels considering features interaction and unobserved heterogeneity: a two-stage deep learning modeling framework
Real-time prediction of crash risk is an effective method for enhancing traffic safety, but it is
not fully explored in freeway tunnels. A two-stage deep learning modeling framework …
not fully explored in freeway tunnels. A two-stage deep learning modeling framework …
Revisiting freeway single tunnel crash characteristics analysis: A six-zone analytic approach
Considerable studies have been conducted to investigate the tunnels' traffic safety.
However, the entrance and exit parts of a tunnel are mostly considered symmetrical in …
However, the entrance and exit parts of a tunnel are mostly considered symmetrical in …
Analyzing crash frequency in freeway tunnels: A correlated random parameters approach
Q Hou, AP Tarko, X Meng - Accident Analysis & Prevention, 2018 - Elsevier
The majority of past road safety studies focused on open road segments while only a few
focused on tunnels. Moreover, the past tunnel studies produced some inconsistent results …
focused on tunnels. Moreover, the past tunnel studies produced some inconsistent results …
Traffic volume and crashes and how crash and road characteristics affect their relationship–A meta-analysis
AK Høye, IS Hesjevoll - Accident Analysis & Prevention, 2020 - Elsevier
The present study has investigated the relationship between traffic volume and crash
numbers by means of meta-analysis, based on 521 crash prediction models from 118 …
numbers by means of meta-analysis, based on 521 crash prediction models from 118 …
Investigating factors of crash frequency with random effects and random parameters models: New insights from Chinese freeway study
Q Hou, AP Tarko, X Meng - Accident Analysis & Prevention, 2018 - Elsevier
In response to the rapid economic growth in China, its freeway system has become the
longest in the world and likely will continue to expand. Unfortunately, the safety issues on …
longest in the world and likely will continue to expand. Unfortunately, the safety issues on …
An ensemble machine learning‐based modeling framework for analysis of traffic crash frequency
This study is, to our knowledge, the first in the literature to introduce a modeling framework
for analyzing traffic crash frequency based on a series of ensemble machine learning (EML) …
for analyzing traffic crash frequency based on a series of ensemble machine learning (EML) …