7 papers · 1 filter
Distributionally Robust Tolls for Traffic Networks with Affine Latency Functions
Chih-Yuan Chiu, Sarah H. Q. Li, Bryce L. Ferguson
In network congestion games, system operators often utilize latency models, estimated from real-world traffic flow and travel time data, to design monetary incentives which steer e…
Credit-Based vs. Discount-Based Congestion Pricing: A Comparison Study
Chih-Yuan Chiu, Devansh Jalota, Marco Pavone
Credit-based congestion pricing (CBCP) and discount-based congestion pricing (DBCP), which respectively allot travel credits and toll discounts to subsidize low-income users' acces…
Approximately Optimal Toll Design for Efficiency and Equity in Arc-Based Traffic Assignment Models
Chih-Yuan Chiu
Congestion pricing policies have emerged as promising traffic management tools to alleviate traffic congestion caused by travelers' selfish routing behaviors. The core principle be…
Parameter Estimation in Optimal Tolling for Traffic Networks Under the Markovian Traffic Equilibrium
Chih-Yuan Chiu, Shankar Sastry
Tolling, or congestion pricing, has emerged as an effective tool for preventing gridlock in traffic systems. However, tolls are currently mostly designed on route-based traffic ass…
To What Extent do Open-loop and Feedback Nash Equilibria Diverge in General-Sum Linear Quadratic Dynamic Games?
Chih-Yuan Chiu, Jingqi Li, Maulik Bhatt +1
Dynamic games offer a versatile framework for modeling the evolving interactions of strategic agents, whose steady-state behavior can be captured by the Nash equilibria of the game…
Credit vs. Discount-Based Congestion Pricing: A Comparison Study
Chih-Yuan Chiu, Devansh Jalota, Marco Pavone
Congestion pricing offers a promising traffic management policy for regulating congestion, but has also been criticized for placing outsized financial burdens on low-income users.…
Simultaneous Localization and Mapping: Through the Lens of Nonlinear Optimization
Amay Saxena, Chih-Yuan Chiu, Joseph Menke +2
Simultaneous Localization and Mapping (SLAM) algorithms perform visual-inertial estimation via filtering or batch optimization methods. Empirical evidence suggests that filtering a…