How is driving volatility related to intersection safety? A Bayesian heterogeneity-based analysis of instrumented vehicles data
Driving behavior in general is considered a leading cause of intersection related traffic
crashes. However, due to unavailability of real-world driving data, intersection safety …
crashes. However, due to unavailability of real-world driving data, intersection safety …
Effectiveness of road safety interventions: An evidence and gap map
Abstract Background Road Traffic injuries (RTI) are among the top ten leading causes of
death in the world resulting in 1.35 million deaths every year, about 93% of which occur in …
death in the world resulting in 1.35 million deaths every year, about 93% of which occur in …
Exploring microscopic driving volatility in naturalistic driving environment prior to involvement in safety critical events—Concept of event-based driving volatility
The sequence of instantaneous driving decisions and its variations, known as driving
volatility, prior to involvement in safety critical events can be a leading indicator of safety …
volatility, prior to involvement in safety critical events can be a leading indicator of safety …
Can data generated by connected vehicles enhance safety?: Proactive approach to intersection safety management
Traditionally, evaluation of intersection safety has been largely reactive and based on
historical crash frequency data. However, the emerging data from connected and …
historical crash frequency data. However, the emerging data from connected and …
A systematic review of statistical models and outcomes of predicting fatal and serious injury crashes from driver crash and offense history data
Background Expenditure on driver-related behavioral interventions and road use policy is
often justified by their impact on the frequency of fatal and serious injury crashes. Given the …
often justified by their impact on the frequency of fatal and serious injury crashes. Given the …
Taxi driver speeding: Who, when, where and how? A comparative study between Shanghai and New York City
Y Huang, D Sun, J Tang - Traffic injury prevention, 2018 - Taylor & Francis
Objective: The 3 objectives of this study are to (1) identify the driving style characteristics of
taxi drivers in Shanghai and New York City (NYC) using taxi Global Positioning System …
taxi drivers in Shanghai and New York City (NYC) using taxi Global Positioning System …
Copula-based bivariate count data regression models for simultaneous estimation of crash counts based on severity and number of vehicles
Statistical models of crash frequency typically apply univariate regression models to
estimate total crash frequency or crash counts by various categories. However, a possible …
estimate total crash frequency or crash counts by various categories. However, a possible …
Modelling the adoption of autonomous vehicle: How historical experience inform the future preference
MS Hossain, MR Fatmi - Travel Behaviour and Society, 2022 - Elsevier
This study investigates individuals' preference towards autonomous vehicle (AV) as a
privately-owned vehicle and as a vehicle in shared services. One of the key features of this …
privately-owned vehicle and as a vehicle in shared services. One of the key features of this …
Contributory fault and level of personal injury to drivers involved in head-on collisions: application of copula-based bivariate ordinal models
B Wali, AJ Khattak, J Xu - Accident Analysis & Prevention, 2018 - Elsevier
The main objective of this study is to simultaneously investigate the degree of injury severity
sustained by drivers involved in head-on collisions with respect to fault status designation …
sustained by drivers involved in head-on collisions with respect to fault status designation …
Modelling the relationship of driver license and offense history with fatal and serious injury (FSI) crash involvement
Introduction: Previous research has indicated that increases in traffic offenses are linked to
increased crash involvement rates, making reductions in offending an appropriate measure …
increased crash involvement rates, making reductions in offending an appropriate measure …