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20172021
most citedCan Data Generated by Connected Vehicles Enhance Safety? A proactive approach to intersection safety management

57 citations · 69 across the 3 of their papers we have counts for

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7 papers · 1 filter

stat.AP20199 cited

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…

stat.AP2018

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,…

stat.AP2018

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…

stat.AP2018

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…

stat.AP2018

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…

stat.AP2018

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…