The relationship between driving volatility in time to collision and crash-injury severity in a naturalistic driving environment

B Wali, AJ Khattak, T Karnowski - Analytic methods in accident research, 2020 - Elsevier
As a key indicator of unsafe driving, driving volatility characterizes the variations in
microscopic driving decisions. This study characterizes volatility in longitudinal and lateral …

How is driving volatility related to intersection safety? A Bayesian heterogeneity-based analysis of instrumented vehicles data

B Wali, AJ Khattak, H Bozdogan, M Kamrani - Transportation research part …, 2018 - Elsevier
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 …

[HTML][HTML] The effect of the built environment on spatial-temporal pattern of traffic congestion in a satellite city in emerging economies

Z Bao, ST Ng, G Yu, X Zhang, Y Ou - Developments in the Built …, 2023 - Elsevier
Traffic congestion has been widely perceived as an inevitable byproduct in the process of
global urbanization, leading to significant negative economic and environmental impacts …

[HTML][HTML] Vehicle telematics data for urban freight environmental impact analysis

S Hu, S Shu, J Bishop, X Na, M Stettler - Transportation Research Part D …, 2022 - Elsevier
Road freight transport is one of the major contributors to greenhouse gas and air pollutant
emissions. Hence, it is increasingly regulated in urban areas to reduce its impact on the …

Gate-violation behavior at highway-rail grade crossings and the consequences: using geo-spatial modeling integrated with path analysis

J Liu, AJ Khattak - Accident Analysis & Prevention, 2017 - Elsevier
Drivers undertaking risky behaviors at highway-rail grade crossings are often severely
injured in collisions with trains. Among these behaviors, gate-violation (referring to driving …

Driving aggressiveness in hybrid electric vehicles: Assessing the impact of driving volatility on emission rates

P Fernandes, R Tomás, E Ferreira, B Bahmankhah… - Applied Energy, 2021 - Elsevier
Hybrid electric vehicles (HEV) have demonstrated energy benefits to road traffic networks,
but a deeper understanding the correlation of driving volatility with their energy use and …

Fuel consumption for various driving styles in conventional and hybrid electric vehicles: Integrating driving cycle predictions with fuel consumption optimization

J Rios-Torres, J Liu, A Khattak - International Journal of …, 2019 - Taylor & Francis
Improving fuel economy and lowering emissions are key societal goals. Standard driving
cycles, pre-designed by the US Environmental Protection Agency (EPA), have long been …

Harnessing ambient sensing & naturalistic driving systems to understand links between driving volatility and crash propensity in school zones–A generalized …

B Wali, AJ Khattak - Transportation research part C: emerging technologies, 2020 - Elsevier
With the advent of seemingly unstructured big data, and through seamless integration of
computation and physical components, cyber-physical systems (CPS) provide an innovative …

Evaluating the impacts of vehicle-mounted Variable Message Signs on passing vehicles: implications for protecting roadside incident and service personnel

J Liu, X Fu, A Hainen, C Yang… - Journal of Intelligent …, 2023 - Taylor & Francis
This study aims to evaluate the Variable Message Signs (VMS) mounted over the cab of
emergency vehicles as a safety countermeasure to protect roadside incident and service …

Informed decision-making by integrating historical on-road driving performance data in high-resolution maps for connected and automated vehicles

J Liu, A Khattak - Journal of Intelligent Transportation Systems, 2020 - Taylor & Francis
Connected and automated vehicles (CAVs) are already part of the surface transportation
system. In order for a CAV to operate safely, it needs information such as static data (high …