27 citations · 40 across the 8 of their papers we have counts for
9 papers
Environmental and Safety Impacts of Vehicle-to-Everything Enabled Applications: A Review of State-of-the-Art Studies
Jianhe Du, Kyoungho Ahn, Mohamed Farag +1
With the rapid development of communication technology, connected vehicles (CV) have the potential, through the sharing of data, to enhance vehicle safety and reduce vehicle energy…
Impact of risk factors on work zone crashes using logistic models and Random Forest
Huthaifa I Ashqar, Qadri H Shaheen, Suleiman A Ashur +1
Work zone safety is influenced by many risk factors. Consequently, a comprehensive knowledge of the risk factors identified from crash data analysis becomes critical in reducing ri…
Toward a Rational and Ethical Sociotechnical System of Autonomous Vehicles: A Novel Application of Multi-Criteria Decision Analysis
Veljko Dubljević, George F. List, Jovan Milojevich +12
The expansion of artificial intelligence (AI) and autonomous systems has shown the potential to generate enormous social good while also raising serious ethical and safety concerns…
Ride-hailing Impacts on Transit Ridership: Chicago Case Study
Helena Breuer, Jianhe Du, Hesham A. Rakha
Existing literature on the relationship between ride-hailing (RH) and transit services is limited to empirical studies that lack real-time spatial contexts. To fill this gap, we to…
A Simple Cooperative Platooning Controller for Connected Vehicles
Youssef Bichiou, Hesham A. Rakha, Hossam Abdelghaffar
Urban traffic congestion is a chronic problem faced by many cities. It is essentially inefficient infrastructure use which results in increased vehicle fuel consumption and emissio…
A Comparative Analysis of E-Scooter and E-Bike Usage Patterns: Findings from the City of Austin, TX
Mohammed Hamad Almannaa, Huthaifa I. Ashqar, Mohammed Elhenawy +3
E-scooter-sharing and e-bike-sharing systems are accommodating and easing the increased traffic in dense cities and are expanding considerably. However, these new micro-mobility tr…
Impact of Narrow Lanes on Arterial Road Vehicle Crashes: A Machine Learning Approach
Mohammed Elhenawy, Arash Jahangiri, Hesham Rakha
In this paper we adopted state-of-the-art machine learning algorithms, namely: random forest (RF) and least squares boosting, to model crash data and identify the optimum model to…
Acceptable Planning: Influencing Individual Behavior to Reduce Transportation Energy Expenditure of a City
Shiwali Mohan, Hesham Rakha, Matthew Klenk
Our research aims at developing intelligent systems to reduce the transportation-related energy expenditure of a large city by influencing individual behavior. We introduce COPTER…
Vehicular Communication and Mobility Sustainability: the Mutual Impacts in Large-scale Smart Cities
Ahmed Elbery, Hesham Rakha, Mustafa ElNainay
Intelligent Transportation Systems (ITSs) is the backbone of transportation services in smart cities. ITSs produce better-informed decisions using real-time data gathered from conn…