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BUILT@NYU's Projects

network-learning-via-multi-agent-inverse-transportation-problems icon network-learning-via-multi-agent-inverse-transportation-problems

Despite the ubiquity of transportation data, statistical inference methods alone are not able to explain mechanistic relations within a network. Inverse optimization methods that capture network structure fulfill this gap, but they are designed to take observations of the same model to learn the parameters of that model. New inverse optimization models and supporting algorithms are proposed to learn the parameters of heterogeneous travelers’ route optimization such that the value of shared network resources (e.g. link capacity dual prices) can be inferred. The inferred values are internally consistent with each agent’s optimization program. We prove that the method can obtain unique dual prices for a network shared by these agents, in polynomial time. Three experiments are conducted. The first one, conducted on a 4-node network, verifies the methodology to obtain heterogeneous link cost parameters even when a mixed logit model cannot provide meaningful results. The second is a parameter recovery test on the Nguyen-Dupuis network that shows that unique latent link capacity dual prices can be inferred using the proposed method. The last test on the same network demonstrates how a monitoring system in an online learning environment can be designed using this method.

nonmyopic-relocation-mod icon nonmyopic-relocation-mod

Non-myopic relocation of idle mobility-on-demand vehicles as a dynamic location-allocation-queueing problem

recommender-system icon recommender-system

Prototype recommender system design for mobility systems to provide more reliable paratransit for elderly

shoolbusrouting_mixedride icon shoolbusrouting_mixedride

This repository stores the data and scripts for the paper: A school bus routing problem with a mixed ride, mixed load, and heterogeneous fleet

sstndp icon sstndp

SSTNDP: Sequential Segment-level Transit Network Design Problem

subway_explore icon subway_explore

An implementation of Alonso-Mora et al. 's dynamic routing approach for ridesharing

transit-data-game icon transit-data-game

This repository contains materials of our studies on transit data sharing games, including noncooperative and cooperative approaches.

transit-flow-estimation icon transit-flow-estimation

Two tools (schedule-based, static) provided for transit flow estimation. Assignment algorithms can be used independently.

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