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20172023
most citedExtracting useful information from connected vehicle data: An empirical study of driving volatility measures and crash frequency at intersections

114 citations · 440 across the 15 of their papers we have counts for

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Showing 2018Show all

8 papers · 1 filter

physics.soc-ph2018★ 87 cited

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…

stat.AP2018★ 57 cited

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★ 17 cited

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★ 9 cited

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…

cs.CY2018★ 9 cited

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…

cs.CY2018

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…

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★ 114 cited

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…