6 papers
Mitigating Bus Bunching with Reinforcement Learning Enhanced by Semantic Stop Embedding
Xin Dong, Vikash V. Gayah
Bus bunching degrades service regularity and increases passenger waiting in high-frequency transit. Existing reinforcement-learning-based holding controllers primarily rely on inst…
A CAV-based perimeter-free regional traffic control strategy utilizing existing parking infrastructure
Hao Liu, Vikash V. Gayah
This paper proposes a novel perimeter-free regional traffic management strategy for networks under a connected and autonomous vehicle (CAV) environment. The proposed strategy requi…
Profit-Aware Graph Framework for Cross-Platform Ride-Sharing: Analyzing Allocation Mechanisms and Efficiency Gains
Xin Dong, Jose Ventura, Vikash V. Gayah
Ride-hailing platforms (e.g., Uber, Lyft) have transformed urban mobility by enabling ride-sharing, which holds considerable promise for reducing both travel costs and total vehicl…
OCC-MP: A Max-Pressure framework to prioritize transit and high occupancy vehicles
Tanveer Ahmed, Hao Liu, Vikash V. Gayah
Max-pressure (MP) is a decentralized adaptive traffic signal control approach that has been shown to maximize throughput for private vehicles. However, MP-based signal control algo…
C-MP: A decentralized adaptive-coordinated traffic signal control using the Max Pressure framework
Tanveer Ahmed, Hao Liu, Vikash V. Gayah
Coordinated traffic signals seek to provide uninterrupted flow through a series of closely spaced intersections, typically using pre-defined fixed signal timings and offsets. Adapt…
A Max Pressure Algorithm for Traffic Signals Considering Pedestrian Queues
Hao Liu, Vikash V. Gayah, Michael Levin
This paper proposes a novel max-pressure (MP) algorithm that incorporates pedestrian traffic into the MP control architecture. Pedestrians are modeled as being included in one of t…