26 citations · 29 across the 4 of their papers we have counts for
12 papers
Emergent Prosociality in Multi-Agent Games Through Gifting
Woodrow Z. Wang, Mark Beliaev, Erdem Bıyık +3
Coordination is often critical to forming prosocial behaviors -- behaviors that increase the overall sum of rewards received by all agents in a multi-agent game. However, state of…
Incentivizing Efficient Equilibria in Traffic Networks with Mixed Autonomy
Erdem Bıyık, Daniel A. Lazar, Ramtin Pedarsani +1
Traffic congestion has large economic and social costs. The introduction of autonomous vehicles can potentially reduce this congestion by increasing road capacity via vehicle plato…
The Role of Differentiation in Tolling of Traffic Networks with Mixed Autonomy
Daniel A. Lazar, Ramtin Pedarsani
With autonomous vehicles now sharing roads with human drivers, the era of mixed autonomy brings new challenges in dealing with congestion. One cause of congestion is when vehicle u…
Incentivizing Routing Choices for Safe and Efficient Transportation in the Face of the COVID-19 Pandemic
Mark Beliaev, Erdem Bıyık, Daniel A. Lazar +3
The COVID-19 pandemic has severely affected many aspects of people's daily lives. While many countries are in a re-opening stage, some effects of the pandemic on people's behaviors…
Optimal Tolling for Multitype Mixed Autonomous Traffic Networks
Daniel A. Lazar, Ramtin Pedarsani
When selfish users share a road network and minimize their individual travel costs, the equilibrium they reach can be worse than the socially optimal routing. Tolls are often used…
Optimal Tolling for Heterogeneous Traffic Networks with Mixed Autonomy
Daniel A. Lazar, Samuel Coogan, Ramtin Pedarsani
When people pick routes to minimize their travel time, the total experienced delay, or social cost, may be significantly greater than if people followed routes assigned to them by…
Learning How to Dynamically Route Autonomous Vehicles on Shared Roads
Daniel A. Lazar, Erdem Bıyık, Dorsa Sadigh +1
Road congestion induces significant costs across the world, and road network disturbances, such as traffic accidents, can cause highly congested traffic patterns. If a planner had…
The Green Choice: Learning and Influencing Human Decisions on Shared Roads
Erdem Bıyık, Daniel A. Lazar, Dorsa Sadigh +1
Autonomous vehicles have the potential to increase the capacity of roads via platooning, even when human drivers and autonomous vehicles share roads. However, when users of a road…
Altruistic Autonomy: Beating Congestion on Shared Roads
Erdem Bıyık, Daniel Lazar, Ramtin Pedarsani +1
Traffic congestion has large economic and social costs. The introduction of autonomous vehicles can potentially reduce this congestion, both by increasing network throughput and by…
Routing for Traffic Networks with Mixed Autonomy
Daniel A. Lazar, Sam Coogan, Ramtin Pedarsani
In this work we propose a macroscopic model for studying routing on networks shared between human-driven and autonomous vehicles that captures the effects of autonomous vehicles fo…
Maximizing Road Capacity Using Cars that Influence People
Daniel A. Lazar, Kabir Chandrasekher, Ramtin Pedarsani +1
The emerging technology enabling autonomy in vehicles has led to a variety of new problems in transportation networks, such as planning and perception for autonomous vehicles. Othe…
The Price of Anarchy for Transportation Networks with Mixed Autonomy
Daniel A. Lazar, Samuel Coogan, Ramtin Pedarsani
We study routing behavior in transportation networks with mixed autonomy, that is, networks in which a fraction of the vehicles on each road are equipped with autonomous capabiliti…