English
Related papers

Related papers: Fleet Sizing and Allocation for On-demand Last-Mil…

200 papers

In this paper, an original heuristic algorithm of empty vehicles management in personal rapid transit network is presented. The algorithm is used for the delivery of empty vehicles for waiting passengers, for balancing the distribution of…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-10-18 Wiktor B. Daszczuk , Jerzy Mieścicki , Waldemar Grabski

Mobility-on-Demand (MoD) systems require load balancing to maintain consistent service across regions with uneven demand subject to time-varying traffic conditions. The load-balancing objective is to jointly minimize the fraction of lost…

Optimization and Control · Mathematics 2019-08-22 Rebecca Swaszek , Christos Cassandras

The design of integrated mobility-on-demand services requires jointly considering the interactions between traveler choice behavior and operators' operation policies to design a financially sustainable pricing scheme. However, most existing…

General Economics · Economics 2020-06-09 Tai-Yu Ma , Sylvain Klein

We consider a service system with an infinite number of exponential servers sharing a finite service capacity. The servers are ordered according to their speed, and arriving customers join the fastest idle server. A capacity allocation is…

Probability · Mathematics 2018-08-23 Refael Hassin , Liron Ravner

Parking pressure has been steadily increasing in cities as well as in university and corporate campuses. To relieve this pressure, this paper studies a car-pooling platform that would match riders and drivers, while guaranteeing a ride back…

Optimization and Control · Mathematics 2019-09-17 Mohd Hafiz Hasan , Pascal Van Hentenryck , Antoine Legrain

Mobility-on-demand (MoD) systems consist of a fleet of shared vehicles that can be hailed for one-way point-to-point trips. The total distance driven by the vehicles and the fleet size can be reduced by employing ridesharing, i.e., by…

Optimization and Control · Mathematics 2024-01-17 David Fiedler , Michal Čertický , Javier Alonso-Mora , Michal Pěchouček , Michal Čáp

In the family of Intelligent Transportation Systems (ITS), Multimodal Transport Systems (MMTS) have placed themselves as a mainstream transportation mean of our time as a feasible integrative transportation process. The Global Economy…

Artificial Intelligence · Computer Science 2021-07-26 Oliviu Matei , Erdei Rudolf , Camelia-M. Pintea

In this paper, we study a dynamic pickup and delivery problem with docking constraints. There is a homogeneous fleet of vehicles to serve pickup-and-delivery requests at given locations. The vehicles can be loaded up to their capacity,…

Optimization and Control · Mathematics 2025-01-10 Markó Horváth , Tamás Kis , Péter Györgyi

Corporations today face increasing demands for the timely and effective delivery of customer service. This creates the need for a robust and accurate automated solution to what is formally known as the ticket routing problem. This task is…

Artificial Intelligence · Computer Science 2020-03-03 Jianglei Han , Jing Li , Aixin Sun

The limousine service in luxury hotels is an integral component of the whole customer journey in the hospitality industry. One of the largest hotels in Singapore manages a fleet of both in-house and outsourced vehicles around the clock,…

Applications · Statistics 2021-10-01 Peng Liu , Ying Chen , Chung-Piaw Teo

In a carsharing system, a fleet of cars is distributed at stations in an urban area, customers can take and return cars at any time and station. For operating such a system in a satisfactory way, the stations have to keep a good ratio…

Data Structures and Algorithms · Computer Science 2015-11-10 Sahar Bsaybes , Alain Quilliot , Annegret K. Wagler , Jan-Thierry Wegener

Efficient workload assignment to the workforce is critical in last-mile package delivery systems. In this context, traditional methods of assigning package deliveries to workers based on geographical proximity can be inefficient and surely…

Transit agencies have the opportunity to outsource certain services to established Mobility-on-Demand (MOD) providers. Such alliances can improve service quality, coverage, and ridership; reduce public sector costs and vehicular emissions;…

Optimization and Control · Mathematics 2024-03-19 Kayla Cummings , Vikrant Vaze , Özlem Ergun , Cynthia Barnhart

In the governance of the shared mobility market of a city or of a metropolitan area, there are two conflicting principles: 1) the healthy competition between multiple platforms, such as between Uber and Lyft in the United States, and 2)…

Optimization and Control · Mathematics 2024-10-29 Xiaotong Guo , Ao Qu , Hongmou Zhang , Peyman Noursalehi , Jinhua Zhao

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

We formalize one aspect of reliability in the context of Mobility-on-Demand (MoD) systems by acknowledging the uncertainty in the pick-up time of these services. This study answers two key questions: i) how the difference between the stated…

General Economics · Economics 2019-04-18 Prateek Bansal , Yang Liu , Ricardo Daziano , Samitha Samaranayake

This paper examines the integration of freight delivery into the passenger transport of an on-demand ride-pooling service. The goal of this research is to use existing passenger trips for logistics services and thus reduce additional…

Multiagent Systems · Computer Science 2022-05-11 Fabian Fehn , Roman Engelhardt , Florian Dandl , Klaus Bogenberger , Fritz Busch

In the modern transportation industry, accurate prediction of travelers' next destinations brings multiple benefits to companies, such as customer satisfaction and targeted marketing. This study focuses on developing a precise model that…

Machine Learning · Computer Science 2024-09-17 Salih Salihoglu , Gulser Koksal , Orhan Abar

Vehicle-sharing systems -- such as bike-, car-, or motorcycle-sharing systems -- have become increasingly popular in big cities in recent years. On the one hand, they provide a cheaper and environmentally friendlier means of transportation…

Artificial Intelligence · Computer Science 2024-01-24 Holger Billhardt , Alberto Fernández , Sascha Ossowski

Resource allocation problems in which demand is splittable are usually solved using different solution methods from their unsplittable equivalents. Although splittable problem instances can be the easier of the two (for example, they might…

Data Structures and Algorithms · Computer Science 2025-05-16 Bo Jones , Julien Yu , John Gunnar Carlsson