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Mobility Systems
Mixed Traffic Capacity for Connected and Autonomous Vehicles: A Fundamental Diagram Approach
- Model changes in traffic capacity according to the penetration rate of connected and autonomous vehicles (CAVs) in the mixed traffic of highways.
- Derive the relationship between density and traffic capacity considering the vehicle-to-vehicle distance.
- Propose an optimization model to maximize the traffic capacity in multiple lanes.
Optimal Planning of Urban Air Mobility (UAM) Systems with First and Last Mile Ground Access Trips
- Evaluate the economic feasibility of UAM operations in the perspective of society.
- Develop new generalized cost models considering unique characteristics of UAM and ride-sharing.
- Quantitatively examine the necessary conditions for UAM to become more economically viable than other ground-only transportations.
Strategies to Improve the Level of Service of a Citywide Public Charging Infrastructure for Electric Vehicles
- Propose strategies to improve the LOS of public charging infrastructure for EVs.
- Introduce the concept of Reliability-based citywide capacity as a performance metric.
- Consider the EV users' weighted delay including waiting and detour times.
- Conduct Monte Carlo Simulations with strategy combinations and demand cases.
- The results show that the strategies can increase the citywide capacity.
Optimizing Charging Infrastructure, Fleet Size and Management, and Battery Capacity for Multi-Route Electric Bus Systems
- Define multiple scenarios based on whether to pool chargers and bus fleets or not and evaluate the impacts of pooling.
- Propose the optimal decision-making framework to minimize the total agency costs for multi-route electric bus systems.
- Present the queuing-theoretic solution method to determine three key factors: fleet size, number of chargers, and battery capacity.
Infrastructure Asset Management
Optimization of Road Infrastructure Management System
- The main objective of infrastructure management system is to minimize total social costs for agency and users.
- We present a management framework that involves multi- scale decisions, including system-level budget allocations, group-level inspections, and facility-level maintenance strategies.
- The proposed methodology adopts a bottom-up approach to account for heterogeneous facility- and group-specific properties.
How to Measure the Network Vulnerability of Cities to Wildfires: Cases in California, U.S.A.
- Propose a framework to evaluate the network vulnerability of cities to wildfires.
- Calculate the four different network connectivity measures.
- Conduct agent-based evacuation simulation (Monte Carlo method) to identify how long total evacuation time to escape the city is and how many vehicles are isolated.
- Compare the network connectivity and simulation results by city.
- The results indicate that the city where the network connectivity measures are worse than other cities has the most sensitive network in relation to wildfires.
