A5090149818- Transportation and Mobility Innovations
- Urban Transport and Accessibility
- Electric Vehicles and Infrastructure
- Transportation Planning and Optimization
- Sharing Economy and Platforms
- Vehicle Routing Optimization Methods
- Human-Automation Interaction and Safety
- Energy, Environment, and Transportation Policies
- Air Traffic Management and Optimization
- Aviation Industry Analysis and Trends
- Smart Parking Systems Research
- Advanced Multi-Objective Optimization Algorithms
- EEG and Brain-Computer Interfaces
- Advanced Battery Technologies Research
- Optimization and Mathematical Programming
- Energy Load and Power Forecasting
- Scheduling and Timetabling Solutions
- Neural dynamics and brain function
- Health Systems, Economic Evaluations, Quality of Life
- Traffic control and management
- Smart Grid Energy Management
- Optimal Experimental Design Methods
- Older Adults Driving Studies
- Functional Brain Connectivity Studies
- Scheduling and Optimization Algorithms
The University of Texas at Arlington
2015-2024
Division of Program Coordination Planning and Strategic Initiatives
2022-2024
Pennsylvania State University
2024
California Polytechnic State University
2023
Texas Department of Transportation
2023
ORCID
2022
Technion – Israel Institute of Technology
2021
Arizona State University
2015
Northeastern Illinois University
2015
Missouri Western State University
2010
Disruptions in airline transportation systems can prevent airlines from executing their schedules as planned. Adverse weather conditions, congestion at airports, and mechanical failures often hinder a flight schedule. During such events, decision makers must reschedule legs, reroute aircraft, pilots, passengers. We present an optimization model that reschedules legs reroutes aircraft by minimizing objective function involving rerouting cancellation costs. develop heuristic for selecting...
Autonomous vehicles (AVs) utilize new technology that promises to enhance transportation equity, accessibility, and safety; however, their acceptance by consumers, as well future performance, is reliant upon the planners understanding public's perceptions of current services. Most existing studies evaluate opinions AV were conducted using stated preference surveys in metropolitan areas with multiple public transit options; little emphasis was given a qualitative approach included all...
Although multiple studies have modeled and predicted the potential effects of shared autonomous vehicles (SAVs), research on adoption SAVs by riders with actual ridership experience is still limited. In addition, increasing tendency towards operating SAV technology requires understanding its efficiency while integrating it into existing transportation network infrastructure. This study aims to identify factors affecting user's willingness ride based data collected from a comprehensive survey...
Despite the growing interest in implementing shared autonomous vehicles (SAVs) as a new mobility mode, there is still lack of methodologies to unpack SAV adoption by individuals after experiencing self-driving vehicles. This study aimed fill this gap analyzing data collected from users’ survey shuttle piloted downtown and on university campus Arlington, TX. Employing structural equation modeling, hypothesized relationships between key factors were tested. Data analyses indicated that with...
Self-driving vehicles are expected to reduce mobility barriers; however, it is still unclear how individuals will use them and they benefit the urban transportation system overall. This research aims evaluate self-driving technology diffusion by applying testing a conceptual model that was designed unpack possible determinants of adoption shared autonomous (SAVs). The study framework developed based on principles socio-psychological theories human behavior investigates SAVs two groups...
The ever-increasing concern over climate change is compelling global economies to employ alternative fuel technology combat the vehicular emissions of greenhouse gases. Electric vehicles (EVs) offer a viable environmentally friendly that has potential facilitate an effective shift towards sustainable transportation system with low while preserving environment; however, well-intentioned policies and other incentives have not been able transcend technological, infrastructure, financial...
Introduction: Universities and other educational institutions across the United States collaborate with service providers to afford their students, faculty, staff transit services, such as dedicated buses, on-demand ridesharing, public transportation. The university community relies on these especially in rural low-density areas without fixed-route services. literature this topic has a wealth of detailed material about travel usage patterns systems, but it little information users’...
Airline decision makers cancel flights in operations because of disruptions. When canceling a flight, they usually cycle, sequence that begins and ends at the same airport. Consequently, fleet assignment aircraft rotation with many short cycles is frequently less sensitive to flight cancellation than one only few cycles. In this paper, we determine lower bound for number using hub connectivity assignment, present fleet-assignment models (FAMs) embed reduce within solution. We show solutions...
We present a stochastic model of the daily operations an airline. Its primary purpose is to evaluate plans, such as crew schedules, well recovery policies in random environment. describe structure model, sources disruptions, policies, and performance measures. Then, we SimAir—our simulation implementation give computational results. Finally, future directions for study airline planning under uncertainty.
Shared autonomous vehicles (SAVs) have the potential to improve efficiency, mobility, safety, and affordability of transportation systems; however, consumers will determine whether they can be successfully integrated into current systems. This study aims identify perceptions, attitudes, preferences, concerns those who not taken advantage AV technology by sharing results a self-driving demonstration in Arlington, Texas. A two-step approach was employed for this study: (a) quantitative...
This study aims to identify young adults' travel behavior using ridesharing services. We analyze data from an online survey of university students, regarding three free services, including fixed-route, on-demand, and shared autonomous vehicles (SAVs). Ordinal regression structural equation model (SEM) are employed explore the frequency service usage. Results indicate that most students had never taken a ride by available services due their preferences for private lack information. Regression...
This paper develops an analytical model for a residential microgrid (RMG) under collaborative environment. The assumes that the RMG community is social agreement referred to as Collaborative Consumption. includes framework RMGs using unique method of demand response based on particular characteristics loads. Residential loads are categorized into three types their necessity and reschedulable ability. Consumers assign priority appliances. Then, informs consumers about real-time consumption...
Objectives On-demand ridesharing services are suggested to provide several benefits, such as improving accessibility and mobility, reducing drive-alone trips greenhouse gas emissions. However, the impacts of these on traffic crashes not completely clear. This paper investigates availability Via- an on-demand service in Arlington, TX, identify effects this crashes. We hypothesize that launch Via would result more shared rides, fewer crashes.Methods implement Interrupted Time Series Analysis...
The growth of mobility on demand (MOD) services has raised partnership opportunities between transit agencies and transportation network companies (TNCs) in the US. However, there is still a need to recognize how MOD programs confront different challenges during implementation pilot projects, what extent they are successful promoting efficiency providing multiple options. This study aims evaluate potential public-private partnerships for planning while presenting an overview lessons learned...