114 citations · 440 across the 15 of their papers we have counts for
15 papers
Connected and Automated Vehicles Investment and Smart Infrastructure in Tennessee Part 3: Infrastructure and Vehicular communications: From Dedicated Short-Range Communications to Cellular Vehicle-to-Everything
Asad J. Khattak, Austin Harris, Mina Sartipi +3
This report aims to support the Tennessee Department of Transportation's decisions about vehicle and infrastructure communication technologies. The transition from Dedicated Short-…
Heterogeneous Ensemble Learning for Enhanced Crash Forecasts -- A Frequentest and Machine Learning based Stacking Framework
Numan Ahmad, Behram Wali, Asad J. Khattak
A variety of statistical and machine learning methods are used to model crash frequency on specific roadways with machine learning methods generally having a higher prediction accu…
Big Data Generated by Connected and Automated Vehicles for Safety Monitoring, Assessment and Improvement, Final Report (Year 3)
Asad J. Khattak, Iman Mahdinia, Sevin Mohammadi +2
This report focuses on safety aspects of connected and automated vehicles (CAVs). The fundamental question to be answered is how can CAVs improve road users' safety? Using advanced…
Harnessing Ambient Sensing & Naturalistic Driving Systems to Understand Links Between Driving Volatility and Crash Propensity in School Zones: A generalized hierarchical mixed logit framework
Behram Wali, Asad Khattak
With the advent of seemingly unstructured big data, and through seamless integration of computation and physical components, cyber-physical systems (CPS) provide an innovative way…
The relationship between driving volatility in time to collision and crash injury severity in a naturalistic driving environment
Behram Wali, Asad Khattak, Thomas Karnowski
As a key indicator of unsafe driving, driving volatility characterizes the variations in microscopic driving decisions. This study characterizes volatility in longitudinal and late…
Fuel Economy Gaps Within & Across Garages: A Bivariate Random Parameters Seemingly Unrelated Regression Approach
Behram Wali, Asad Khattak, David Greene +1
The key objective of this study is to investigate the interrelationship between fuel economy gaps and to quantify the differential effects of several factors on fuel economy gaps o…
Analysis of Volatility in Driving Regimes Extracted from Basic Safety Messages Transmitted Between Connected Vehicles
Asad Khattak, Behram Wali
Driving volatility captures the extent of speed variations when a vehicle is being driven. Extreme longitudinal variations signify hard acceleration or braking. Warnings and alerts…
A Heterogeneity Based Case-Control Analysis of Motorcyclist Injury Crashes: Evidence from Motorcycle Crash Causation Study
Behram Wali, Asad Khattak, Aemal Khattak
The main objective of this study is to quantify how different policy-sensitive factors are associated with risk of motorcycle injury crashes, while controlling for rider-specific,…
Analyzing within Garage Fuel Economy Gaps to Support Vehicle Purchasing Decisions - A Copula-Based Modeling & Forecasting Approach
Behram Wali, David Greene, Asad Khattak +1
A key purpose of the U.S. government fuel economy ratings is to provide precise and unbiased fuel economy estimates to assist consumers in their vehicle purchase decisions. For the…
Analyzing Highly Volatile Driving Trips Taken by Alternative Fuel Vehicles
Mohsen Kamrani, Ramin Arvin, Asad J. Khattak
Volatile driving, characterized by fluctuations in speed and accelerations and aggressive lane changing/merging, is known to contribute to transportation crashes. To fully understa…
A Cooperative Freeway Merge Assistance System using Connected Vehicles
Md Salman Ahmed, Mohammad A Hoque, Jackeline Rios-Torres +1
The rapid growth of traffic-related fatalities and injuries around the world including developed countries has drawn researchers' attention for conducting research on automated hig…
Intersection Approach Advisory Through Vehicle-to-Infrastructure Communication Using Signal Phase and Timing Information at Signalized Intersection
Md Salman Ahmed, Mohammad A Hoque, Asad Khattak
Advancement in connected vehicle technology has created opportunities for researchers to develop safety critical and assistive applications for drivers. These applications do not o…
Development of Safety Performance Functions: Incorporating Unobserved Heterogeneity and Functional Form Analysis
Behram Wali, Asad J. Khattak, Jim Waters +2
To improve transportation safety, this study applies Highway Safety Manual (HSM) procedures to roadways while accounting for unobserved heterogeneity and exploring alternative func…
Extracting useful information from connected vehicle data: An empirical study of driving volatility measures and crash frequency at intersections
Mohsen Kamrani, Ramin Arvin, Asad J. Khattak
With the emergence of high-frequency connected and automated vehicle data, analysts have become able to extract useful information from them. To this end, the concept of "driving v…
Can Data Generated by Connected Vehicles Enhance Safety? A proactive approach to intersection safety management
Mohsen Kamrani, Behram Wali, Asad J. Khattak
Traditionally, evaluation of intersection safety has been largely reactive, based on historical crash frequency data. However, the emerging data from Connected and Automated Vehicl…