IAM LAB Research HOME > Research > Research Outputs Research Field Research Outputs Research Center Industrial Collaboration Research Field Research Outputs Research Center Industrial Collaboration Research Outputs VDC TOPS ID AVE EMC VIL IAM TETRIS SDL Human-FACTS TUPA Menu VDC TOPS ID AVE EMC VIL IAM TETRIS SDL Human-FACTS TUPA 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.