87 citations · 255 across the 21 of their papers we have counts for
7 papers · 1 filter
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…
Amazon Last-Mile Delivery Trajectory Prediction Using Hierarchical TSP with Customized Cost Matrix
Xiaotong Guo, Baichuan Mo, Qingyi Wang
In response to the Amazon Last-Mile Routing Challenge, Team Permission Denied proposes a hierarchical Travelling Salesman Problem (TSP) optimization with a customized cost matrix.…
Passenger Path Choice Estimation Using Smart Card Data: A Latent Class Approach with Panel Effects Across Days
Baichuan Mo, ZhenLiang Ma, Haris N. Koutsopoulos +1
Understanding passengers' path choice behavior in urban rail systems is a prerequisite for effective operations and planning. This paper attempts bridging the gap by proposing a pr…
Modeling Virus Transmission Risks in Commuting with Emerging Mobility Services: A Case Study of COVID-19
Baichuan Mo, Peyman Noursalehi, Haris N. Koutsopoulos +1
Commuting is an important part of daily life. With the gradual recovery from COVID-19 and more people returning to work from the office, the transmission of COVID-19 during commuti…
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…
Bulk Service Queueing for Transit Resilience under Short Random Service Suspensions
Baichuan Mo, Li Jin, Zhengzhong Ricky You +3
Short service suspensions are common in public transit systems, but their operational impacts remain difficult to quantify. We develop an analytical framework for measuring the res…