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This paper considers the design of On-Demand Multimodal Transit Systems (ODMTS) that combine fixed bus/rail routes between transit hubs with on-demand shuttles that serve the first/last miles to/from the hubs. The design problem aims at…

Optimization and Control · Mathematics 2022-02-01 Ramon Auad , Pascal Van Hentenryck

During the COVID-19 pandemic, the collapse of the public transit ridership led to significant budget deficits due to dramatic decreases in fare revenues. Additionally, public transit agencies are facing challenges of reduced vehicle…

Optimization and Control · Mathematics 2022-05-30 Ramon Auad , Kevin Dalmeijer , Connor Riley , Tejas Santanam , Anthony Trasatti , Pascal Van Hentenryck , Hanyu Zhang

This study explores the design of an On-Demand Multimodal Transit System (ODMTS) that includes segmented mode switching models that decide whether potential riders adopt the new ODMTS or stay with their personal vehicles. It is motivated by…

Optimization and Control · Mathematics 2019-12-06 Beste Basciftci , Pascal Van Hentenryck

Public transit plays an essential role in mitigating traffic congestion, reducing emissions, and enhancing travel accessibility and equity. One of the critical challenges in designing public transit systems is distributing finite service…

Optimization and Control · Mathematics 2023-08-03 Jiawei Lu , Connor Riley , Krishna Murthy Gurumurthy , Pascal Van Hentenryck

This paper studies how to integrate rider mode preferences into the design of On-Demand Multimodal Transit Systems (ODMTS). It is motivated by a common worry in transit agencies that an ODMTS may be poorly designed if the latent demand,…

Optimization and Control · Mathematics 2022-09-22 Beste Basciftci , Pascal Van Hentenryck

Traffic congestion can have a detrimental effect on public transit systems, and understanding and mitigating these effects is of critical importance for effective public transportation. Implementing Dedicated Bus Lanes (DBLs) is a…

Optimization and Control · Mathematics 2024-04-24 Jason Lu , Anthony Trasatti , Hongzhao Guan , Kevin Dalmeijer , Pascal Van Hentenryck

This paper reports on the results of the six-month pilot MARTA Reach, which aimed to demonstrate the potential value of On-Demand Multimodal Transit Systems (ODMTS) in the city of Atlanta, Georgia. ODMTS take a transit-centric view by…

This paper reconsiders the ODMTS Design with Adoptions problem (ODMTS-DA) to capture the latent demand in on-demand multimodal transit systems. The ODMTS-DA is a bilevel optimization problem, for which Basciftci and Van Hentenryck (2022)…

Optimization and Control · Mathematics 2026-01-30 Hongzhao Guan , Beste Basciftci , Pascal Van Hentenryck

We envision a multimodal transportation system where Mobility-on-Demand (MoD) service is used to serve the first mile and last mile of transit trips. For this purpose, the current research formulates an optimization model for designing an…

Optimization and Control · Mathematics 2022-11-28 Pramesh Kumar , Alireza Khani

Optimal transport on a graph focuses on finding the most efficient way to transfer resources from one distribution to another while considering the graph's structure. This paper introduces a new distributed algorithm that solves the optimal…

Optimization and Control · Mathematics 2025-07-08 Yacine Mokhtari , Emmanuel Moulay , Patrick Coirault , Jérôme Le Ny

We are in the midst of a technology-driven transformation of the urban mobility landscape. However, unfortunately these new innovations are still dominated by car-centric personal mobility, which leads to concerns such as environmental…

Discrete Mathematics · Computer Science 2024-04-12 Danushka Edirimanna , Hins Hu , Samitha Samaranayake

The BusPlus project aims at improving the off-peak hours public transit service in Canberra, Australia. To address the difficulty of covering a large geographic area, BusPlus proposes a hub and shuttle model consisting of a combination of a…

Artificial Intelligence · Computer Science 2019-07-02 Arthur Maheo , Philip Kilby , Pascal Van Hentenryck

This paper addresses the pressing challenge of urban mobility in the context of growing urban populations, changing demand patterns for urban mobility, and emerging technologies like Mobility-on-Demand (MoD) platforms and Autonomous Vehicle…

Social and Information Networks · Computer Science 2024-04-10 Xiaotong Guo , Jinhua Zhao

Microtransit systems represent an enhancement to solve the first- and last-mile problem, integrating traditional rail and bus networks with on-demand shuttles into a flexible, integrated system. This type of demand responsive transport…

Systems and Control · Electrical Eng. & Systems 2026-01-30 Jason Lu , Tejas Santanam , Hongzhao Guan , Connor Riley , Meen-Sung Kim , Anthony Trasatti , Neda Masoud , Pascal Van Hentenryck

In recent years, with the advancements in information and communication technology, different emerging on-demand shared mobility services have been introduced as innovative solutions in the low-density areas, including on-demand transit…

Computers and Society · Computer Science 2021-10-05 Nael Alsaleh , Bilal Farooq

Optimal transport (OT) theory provides a principled framework for modeling mass movement in applications such as mobility, logistics, and economics. Classical formulations, however, generally ignore capacity limits that are intrinsic in…

Optimization and Control · Mathematics 2025-11-04 Anqi Dong , Karl Henrik Johansson , Johan Karlsson

Visual rendering of graphs is a key task in the mapping of complex network data. Although most graph drawing algorithms emphasize aesthetic appeal, certain applications such as travel-time maps place more importance on visualization of…

Machine Learning · Statistics 2013-02-06 Brian Baingana , Georgios B. Giannakis

Persistence diagrams (PDs) are now routinely used to summarize the underlying topology of complex data. Despite several appealing properties, incorporating PDs in learning pipelines can be challenging because their natural geometry is not…

Machine Learning · Statistics 2018-11-14 Théo Lacombe , Marco Cuturi , Steve Oudot

This paper considers a relay-assisted bidirectional cellular network where the base station (BS) communicates with each mobile station (MS) using OFDMA for both uplink and downlink. The goal is to improve the overall system performance by…

Information Theory · Computer Science 2010-09-03 Yuan Liu , Meixia Tao , Bin Li , Hui Shen

Network topology optimization (NTO) via busbar splitting can mitigate transmission grid congestion and reduce redispatch costs. However, solving this mixed-integer nonlinear problem for large-scale systems in near-real-time is currently…

Artificial Intelligence · Computer Science 2026-03-16 Ali Rajaei , Peter Palensky , Jochen L. Cremer
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