Route-cost-assignment with joint user and operator behavior as a many-to-many stable matching assignment game

by   Saeid Rasulkhani, et al.

We propose a generalized market equilibrium model using assignment game criteria for evaluating transportation systems that consist of both operators' and users' decisions: fixed route transit, multimodal systems, Mobility-as-a-Service, and emerging mobility in general. The model finds stable pricing and matches between user populations in a network to links of a set of routes with line capacities. The proposed model gives a set of stable outcomes instead of single point pricing that allows operators to design their ticket pricing based on a desired mechanism or policy. The set of stable outcomes is proven to be convex from which user-optimal and operator-optimal outcomes can be obtained. We look at three different examples to test our model. As a case study we evaluate taxi ridesharing in NYC. Based on the taxi data and study area in Lower Manhattan, the model justifies a market share of 71.8 percent of users that would take shared rides. Sharing taxi results in a 31.4 percent decrease in travel mileage. The model suggests that adopting a policy that can require passengers to walk up to 1 block away to meet with a shared taxi would require the operating cost savings to exceed 0.44/traveler by another 0.13 if the operator does not wish to turn away any of these passengers.



page 5

page 15

page 16

page 21

page 23

page 24

page 25

page 26


Route-cost-assignment with joint user and operator behavior as a many-to-one stable matching assignment game

We propose a generalized market equilibrium model using assignment game ...

A path-based many-to-many assignment game to model Mobility-as-a-Service market networks

As Mobility as a Service (MaaS) systems become increasingly popular, tra...

A stochastic user-operator assignment game for microtransit service evaluation: A case study of Kussbus in Luxembourg

This paper proposes a stochastic variant of the stable matching model fr...

Mobility operator resource-pooling contract design to hedge against network disruptions

Public transportation delays due to systematic failures have a major imp...

Competition and Cooperation of Autonomous Ridepooling Services: Game-Based Simulation of a Broker Concept

Autonomous mobility on demand services have the potential to disrupt the...

Multimodal Mobility Systems: Joint Optimization of Transit Network Design and Pricing

The performance of multimodal mobility systems relies on the seamless in...

Strategic Availability and Cost Effective UAV-based Flying Access Networks: S-Modular Game Analysis

Telecommunication service providers deploy UAVs to provide flying networ...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.