A5103254727- Transportation Planning and Optimization
- Transportation and Mobility Innovations
- Urban Transport and Accessibility
- Electric Vehicles and Infrastructure
- Human Mobility and Location-Based Analysis
- Urban and Freight Transport Logistics
- Sharing Economy and Platforms
- Energy, Environment, and Transportation Policies
- Energy and Environment Impacts
- Vehicle Routing Optimization Methods
- Evacuation and Crowd Dynamics
- Facility Location and Emergency Management
- Advanced Battery Technologies Research
- Smart Parking Systems Research
- Flood Risk Assessment and Management
- 3D Modeling in Geospatial Applications
- Hybrid Renewable Energy Systems
- Transport Systems and Technology
- Blockchain Technology Applications and Security
- Disaster Management and Resilience
- Robotic Path Planning Algorithms
- Underground infrastructure and sustainability
- BIM and Construction Integration
- Vehicle emissions and performance
- Data Management and Algorithms
University at Buffalo, State University of New York
2014-2023
University of California, Irvine
2009-2013
Irvine University
2013
Samueli Institute
2009
A hydrogen refueling station siting model that considers scheduling and routing decisions of individual vehicles is presented. By coupling a location strategy the set covering problem (SCP) household activity pattern problem, this falls into category problems. It introduces tour-based approach to siting, with tour-construction capability within model. There are multiple decision makers in problem: public sector as service provider collection households make their own perform given...
Abstract: The recently emerging trend of self-driving vehicles and information sharing technologies, made available by private technology vendors, starts creating a revolutionary paradigm shift in the coming years for traveler mobility applications. By considering deterministic decision making framework at household level congested transportation networks, this paper aims to address challenges how optimally schedule individuals’ daily travel patterns under complex activity constraints...
This study assesses the potential use of Battery Electric Vehicles (BEVs) in place conventional Internal Combustion Engine (ICEVs) at household level. The assumption is that travelers will change their travel pattern and behaviors to overcome limitations BEVs, such as limited range long charging times. We generate four scenarios representing different levels traveler adaptation apply them sample households from California Statewide Travel Survey. These are defined assess effect changes when...
The key purpose of this paper is to demonstrate that optimization evacuation warnings by time period and impacted zone crucial for efficient an area a hurricane. We assume people behave in manner consistent with the they receive. By optimizing issuance hurricane warnings, one can control number evacuees at different intervals avoid congestion process evacuation. warning model applied case study Hurricane Sandy using region Brooklyn. first develop shelter assignment then use outcome...
In this paper, a method of constructing the feasible region in space–time dimension well-known Household Activity Pattern Problem (HAPP) is developed. HAPP an optimization model that generates optimal set full-day activity-travel decisions. Based on definition activity and its spatial temporal constraints, for completion one derived. Then, determined as intersection regions activities to be performed given travel day. This shown consistent with concept prism. An algorithm developed...