Book of abstracts of the 24th Euro Working Group on Transportation Meeting

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Enhancing network equilibrium models for capturing emerging shared-use mobility services

Driven by the development of vehicle connectivity and automation, shared-use mobility services are expected to play a major role in meeting urban mobility needs. However, existing network equilibrium models cannot adequately model these emerging services, as these models are trip centric, assigning vehicular trips to transportation networks. With shared-use mobility, vehicular trips are the outcome of the interactions between service operators and travelers, a missing ingredient in the current network equilibrium analysis methodology. In this study, we will enhance the methodology by explicitly modeling the behaviors of both service operators and travelers. We will consider two implementations of shared-use mobility: one of a decentralized system in which vehicles choose which areas to serve based on their individually defined utility functions, and one of a centralized system in which a shared-use mobility service provider optimally assigns vehicles to requests based on a system-level objective function. The proposed models are expected to enhance the planning practice for shared-use mobility services.http://deepblue.lib.umich.edu/bitstream/2027.42/162823/5/Enhancing Network Assignment Equilibrium Models for Capturing Emerging Shared-Use Mobility Services.pd

Determining service provider and transport system related effects of ridesourcing services by simulation within the travel demand model mobiTopp

Purpose Ridesourcing services have become popular recently and play a crucial role in Mobility as a Service (MaaS) offers. With their increasing importance, the need arises to integrate them into travel demand models to investigate transport system-related effects. As strong interdependencies between different people’s choices exist, microscopic and agent-based model approaches are especially suitable for their simulation. Method This paper presents the integration of shared and non-shared ridesourcing services (i.e., ride-hailing and ride-pooling) into the agent-based travel demand model mobiTopp. We include a simple vehicle allocation and fleet control component and extend the mode choice by the ridesourcing service. Thus, ridesourcing is integrated into the decision-making processes on an agent’s level, based on the system’s specific current performance, considering current waiting times and detours, among other data. Results and Discussion In this paper, we analyze the results concerning provider-related figures such as the number of bookings, trip times, and occupation rates, as well as effects on other travel modes. We performed simulation runs in an exemplary scenario with several variations with up to 1600 vehicles for the city of Stuttgart, Germany. This extension for mobiTopp provides insights into interdependencies between ridesourcing services and other travel modes and may help design and regulate ridesourcing services

Planning of integrated mobility-on-demand and urban transit networks

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 integrated MoD and urban transit system. The proposed model is a mixed-integer non-linear programming model that captures the strategic behavior of passengers in a multimodal network through a passenger assignment model. It determines which transit routes to operate, the frequency of the operating routes, the fleet size of vehicles required in each transportation analysis zone to serve the demand, and the passenger flow on both road and transit networks. A Benders decomposition approach with several enhancements is proposed to solve the given optimization program. Computational experiments are presented for the Sioux Falls multimodal network. The results show a significant improvement in the congestion in the city center with the introduction and optimization of an integrated transportation system. The proposed design allocates more vehicles to the outskirt zones in the network (to serve the first mile and last mile of transit trips) and more frequency to the transit routes in the city center. The integrated system significantly improves the share of transit passengers and their level of service in comparison to the base optimized transit system. The sensitivity analysis of the bus and vehicle fleet shows that increasing the number of buses has more impact on improving the level of service of passengers compared to increasing the number of MoD vehicles. Finally, we provide managerial insights for deploying such multimodal service.Comment: 39 pages, 6 figure