107 citations · 571 across the 21 of their papers we have counts for
22 papers
Beyond Dead Reckoning: A Point of View on Camera--DAS--GNSS Continuity in Road Tunnels
Lyes Saad Saoud, Hesham A. Rakha, Mona Jaber +1
Road tunnels remove satellite visibility where connected and automated vehicles still require continuous, attributable, and integrity-bounded positioning. This Point of View argues…
Optimization of Vehicle Trajectories Considering Uncertainty in Actuated Traffic Signal Timings
Amr Shafik, Seifeldeen Eteifa, Hesham Rakha
This paper introduces a robust optimal green light speed advisory system for fixed and actuated traffic signals when a probability distribution is provided. These distributions rep…
Evaluating a Signalized Intersection Performance Using Unmanned Aerial Data
Mujahid I. Ashqer, Huthaifa I. Ashqar, Mohammed Elhenawy +4
This paper presents a novel method to compute various measures of effectiveness (MOEs) at a signalized intersection using vehicle trajectory data collected by flying drones. MOEs a…
Multi-objective Eco-Routing Model Development and Evaluation for Battery Electric Vehicles
Kyoungho Ahn, Youssef Bichiou, Mohamed Farag +1
This paper develops and investigates the impacts of multi-objective Nash optimum (user equilibrium) traffic assignment on a large-scale network for battery electric vehicles (BEVs)…
Estimating Transit Vehicle Dwell Times at Bus Stops
Taqwa Alhadidi, Hesham A. Rakha
This work presents a quantitative approach to estimate the total time spent in the vicinity of a bus stop including the deceleration time, the boarding and alighting time (develope…
Network and Station-Level Bike-Sharing System Prediction: A San Francisco Bay Area Case Study
Huthaifa I. Ashqar, Mohammed Elhenawy, Hesham A. Rakha +2
The paper develops models for modeling the availability of bikes in the San Francisco Bay Area Bike Share System applying machine learning at two levels: network and station. Inves…
An In-Depth Analysis of Ride-Hailing Travel Using a Large-scale Trip-Based Dataset
Jianhe Du, Hesham A. Rakha, Helena Breuer
With the rapid increase in ride-hailing (RH) use, a need to better understand and regulate the industry arises. This paper analyzes a year's worth of RH trip data from the Greater…
Predicting Coordinated Actuated Traffic Signal Change Times using LSTM Neural Networks
Seifeldeen Eteifa, Hesham A. Rakha, Hoda Eldardiry
Vehicle acceleration and deceleration maneuvers at traffic signals results in significant fuel and energy consumption levels. Green light optimal speed advisory systems require rel…
Bicycle Longitudinal Motion Modeling
Karim Fadhloun, Hesham A. Rakha, Archak Mittal
This research effort uses vehicular traffic flow techniques to model bicyclist longitudinal motion while accounting for bicycle interactions. Specifically, an existing car-followin…
Developing a Novel Crowdsourcing Business Model for Micro-Mobility Ride-Sharing Systems: Methodology and Preliminary Results
Mohammed Elhenawy, MD Mostafizur Rahman Komol, Huthaifa I. Ashqar +4
Micro-mobility ride-sharing is an emerging technology that provides access to the transit system with minimum environmental impacts. Significant research is required to ensure that…
Modeling bike counts in a bike-sharing system considering the effect of weather conditions
Huthaifa I. Ashqar, Mohammed Elhenawy, Hesham A. Rakha
The paper develops a method that quantifies the effect of weather conditions on the prediction of bike station counts in the San Francisco Bay Area Bike Share System. The Random Fo…
Modeling bike availability in a bike-sharing system using machine learning
Huthaifa I. Ashqar, Mohammed Elhenawy, Mohammed H. Almannaa +3
This paper models the availability of bikes at San Francisco Bay Area Bike Share stations using machine learning algorithms. Random Forest (RF) and Least-Squares Boosting (LSBoost)…
Smartphone Transportation Mode Recognition Using a Hierarchical Machine Learning Classifier and Pooled Features From Time and Frequency Domains
Huthaifa I. Ashqar, Mohammed H. Almannaa, Mohammed Elhenawy +2
This paper develops a novel two-layer hierarchical classifier that increases the accuracy of traditional transportation mode classification algorithms. This paper also enhances cla…
Vulnerable Road User Detection Using Smartphone Sensors and Recurrence Quantification Analysis
Huthaifa I. Ashqar, Mohammed Elhenawy, Mahmoud Masoud +2
With the fast advancements of the Autonomous Vehicle (AV) industry, detection of Vulnerable Road Users (VRUs) using smartphones is critical for safety applications of Cooperative I…
Empirical Study of Effect of Dynamic Travel Time Information on Driver Route Choice Behavior
Jinghui Wang, Hesham A. Rakha
The objective of this paper is to study the effect of travel time information on day-to-day driver route choice behavior. A real-world experimental study is designed to have partic…
Sliding Mode Network Perimeter Control
Youssef Bichiou, Maha Elouni, Hossam M. Abdelghaffar +1
Urban traffic congestion is a chronic problem faced by many cities in the US and worldwide. It results in inefficient infrastructure use as well as increased vehicle fuel consumpti…
Vehicle Platooning Impact on Drag Coefficients and Energy/Fuel Saving Implications
Ahmed A. Hussein, Hesham A. Rakha
In this paper, empirical data from the literature are used to develop general power models that capture the impact of a vehicle position, in a platoon of homogeneous vehicles, and…
A Repeated Game Freeway Lane Changing Model
Kyungwon Kang, Hesham A Rakha
Lane changes are complex safety and throughput critical driver actions. Most lane changing models deal with lane-changing maneuvers solely from the merging driver's standpoint and…
Real-time Estimation of Vehicle Counts on Signalized Intersection Approaches Using Probe Vehicle Data
Mohammad A. Aljamal, Hossam M. Abdelghaffar, Hesham A. Rakha
This paper presents a novel method for estimating the number of vehicles traveling along signalized approaches using probe vehicle data only. The proposed method uses the Kalman Fi…
Eco-Driving at Signalized Intersections: A Multiple Signal Optimization Approach
Hao Yang, Fawaz Almutairi, Hesham A. Rakha
Consecutive traffic signalized intersections can increase vehicle stops, producing vehicle accelerations on arterial roads and potentially increasing vehicle fuel consumption level…
Automatic Freeway Bottleneck Identification and Visualization using Image Processing Techniques
Hao Chen, Hesham A Rakha
This paper develops an automatic freeway bottleneck identification and visualization algorithm using a combination of image processing techniques and traffic flow theory. Unlike pr…
The Wireless Control Plane: An Overview and Directions for Future Research
EmadelDin A. Mazied, Mustafa Y. ElNainay, Mohammad J. Abdel-Rahman +4
Software-defined networking (SDN), which has been successfully deployed in the management of complex data centers, has recently been incorporated into a myriad of 5G networks to in…