Road safety in low-income countries: state of knowledge and future directions
Road safety in low-income countries (LICs) remains a major concern. Given the expected
increase in traffic exposure due to the relatively rapid motorisation of transport in LICs, it is …
increase in traffic exposure due to the relatively rapid motorisation of transport in LICs, it is …
Systematic review of the literature on big data in the transportation domain: Concepts and applications
A Neilson, B Daniel, S Tjandra - Big Data Research, 2019 - Elsevier
Abstract Research in Big Data and analytics offers tremendous opportunities to utilize
evidence in making decisions in many application domains. To what extent can the …
evidence in making decisions in many application domains. To what extent can the …
Analyzing the leading causes of traffic fatalities using XGBoost and grid-based analysis: a city management perspective
Traffic accidents have been one of the most important global public problems. It has caused
a severe loss of human lives and property every year. Studying the influential factors of …
a severe loss of human lives and property every year. Studying the influential factors of …
A machine learning based personalized system for driving state recognition
Reliable driving state recognition (eg normal, drowsy, and aggressive) plays a significant
role in improving road safety, driving experience and fuel efficiency. It lays the foundation for …
role in improving road safety, driving experience and fuel efficiency. It lays the foundation for …
Investigating secondary pedestrian-vehicle interactions at non-signalized intersections using vision-based trajectory data
Vision-based trajectory data provides great details for investigating microscopic behavior
and road safety at the level of interactions. Most studies investigating pedestrian-vehicle …
and road safety at the level of interactions. Most studies investigating pedestrian-vehicle …
Mining automatically extracted vehicle trajectory data for proactive safety analytics
Proactive safety management has gained increasing attention for its potential to mitigate
crash risk. This study aims to leverage massive vehicle trajectory data for proactive safety …
crash risk. This study aims to leverage massive vehicle trajectory data for proactive safety …
Collision prediction in roundabouts: a comparative study of extreme value theory approaches
This work contributes to study the application of extreme value theory (EVT) in road safety
analysis, estimating the risk of being involved in an entering–circulating collision in single …
analysis, estimating the risk of being involved in an entering–circulating collision in single …
Expressway crash risk prediction using back propagation neural network: A brief investigation on safety resilience
J Wang, Y Kong, T Fu - Accident Analysis & Prevention, 2019 - Elsevier
This study presents the work in predicting crash risk on expressways with consideration of
both the impact of safety critical events and traffic conditions. The traffic resilience theory is …
both the impact of safety critical events and traffic conditions. The traffic resilience theory is …
Observing the observation of (vulnerable) road user behaviour and traffic safety: A scoping review
Behavioural observation studies in road safety research collect naturalistic data of road
users that are not informed (beforehand) of their participation in a research project. It …
users that are not informed (beforehand) of their participation in a research project. It …
A surrogate video-based safety methodology for diagnosis and evaluation of low-cost pedestrian-safety countermeasures: The case of Cochabamba, Bolivia
Due to a lack of reliable data collection systems, traffic fatalities and injuries are often under-
reported in developing countries. Recent developments in surrogate road safety methods …
reported in developing countries. Recent developments in surrogate road safety methods …