4 papers
Large Language Models for Travel Behavior Prediction
Baichuan Mo, Hanyong Xu, Ruoyun Ma +4
Travel behavior prediction is a core problem in transportation demand management and is traditionally addressed using numerical models calibrated on observed data. With recent adva…
Deploying Robust Decision Support Systems for Transit Headway Control: Rider Impacts, Human Factors and Recommendations for Scalability
Joseph Rodriguez, Haris N. Koutsopoulos, Jinhua Zhao
Service reliability is critical to transit service delivery. This paper describes headway control pilots conducted in two high-ridership Chicago bus routes between 2022 and 2023. A…
Predicting Drivers' Route Trajectories in Last-Mile Delivery Using A Pair-wise Attention-based Pointer Neural Network
Baichuan Mo, Qing Yi Wang, Xiaotong Guo +2
In last-mile delivery, drivers frequently deviate from planned delivery routes because of their tacit knowledge of the road and curbside infrastructure, customer availability, and…
Individual Path Recommendation Under Public Transit Service Disruptions Considering Behavior Uncertainty
Baichuan Mo, Haris N. Koutsopoulos, Zuo-Jun Max Shen +1
Public transit passengers need guidance during service disruptions. This study proposes an individual-based path (IPR) recommendation model. The model decides which paths to recomm…