Joint Design of Multimodal Transit Networks and Shared Autonomous Mobility Fleets

Pinto, Helen K.R.F.; Hyland, Michael; Mahmassani, Hani S.; Verbas, Ömer

doi:10.1016/j.trpro.2019.05.007

Cited by 27 publications

(30 citation statements)

References 32 publications

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“…At the same time, the results such as those reported by Pinto et al [139] can be the result of the choice of objective. The default in much of the transportation literature is to minimize costs or maximize profit.…”

Section: Infrastructurementioning

confidence: 82%

“…They will also need to pay particular attention to the structure of these models if they want to serve citizens equally. In recent work, Pinto et al [139] explore the design of transit networks in the presence of autonomous vehicle fleets. The results show that “While overall wait times decrease, not all transit users benefit, as reduced frequencies on certain lines result in much reduced service levels.” With the autonomous vehicles most accessible to the wealthy, the reduced service levels will disproportionately impact the poor.…”

Section: Infrastructurementioning

confidence: 99%

“…The results show that “While overall wait times decrease, not all transit users benefit, as reduced frequencies on certain lines result in much reduced service levels.” With the autonomous vehicles most accessible to the wealthy, the reduced service levels will disproportionately impact the poor. As a remedy, Pinto et al [139] note, “This suggests that agencies may wish to explore the impact of additional design constraints in the formulation.” The form of such constraints is an open question as is the setting of their parameters. These kinds of questions offer the opportunity of tremendous societal impact.…”

Section: Infrastructurementioning

confidence: 99%

“…Another relevant topic for future research is how to design transit systems that combine scheduled public transit with on‐demand mobility. Pinto et al [139] provide a valuable starting point in this direction.…”

Section: Infrastructurementioning

confidence: 99%

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“Make no little plans”: Impactful research to solve the next generation of transportation problems

2020

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The transportation science research community has contributed to numerous practical and intellectual innovations and improvements over the last decades. Technological advancements have broadened and amplified the potential impacts of our field. At the same time, the world and its communities are facing greater and more serious challenges than ever before. In this paper, we call upon the transportation science research community to work on a research agenda that addresses some of the most important of these challenges. This agenda is guided by the sustainable development goals outlined by the United Nations and organized into three areas: (1) well‐being, (2) infrastructure, and, (3) natural environment. For each area, we identify current and future challenges as well as research directions to address those challenges.

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Section: Infrastructurementioning

confidence: 82%

Section: Infrastructurementioning

confidence: 99%

Section: Infrastructurementioning

confidence: 99%

Section: Infrastructurementioning

confidence: 99%

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“Make no little plans”: Impactful research to solve the next generation of transportation problems

2020

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“…They confirm that congestion is one of the key socio-economic-environmental variables for system planning. Pinto et al (2019) proposed a modeling framework to optimize the transit network and shared-use autonomous vehicles mobility systems. By incorporating an agent-based simulation they acknowledge the role of traffic dynamics in the network design.…”

Section: Introductionmentioning

confidence: 99%

Simulation-Based Design of Urban Bi-modal Transport Systems

Tilg¹,

Abedin²,

Amini³

et al. 2020

Front. Future Transp.

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The three-dimensional passenger macroscopic fundamental diagram (pMFD) describes the relation of the network accumulation of public transport and private vehicles, and the passenger production. It allows for modeling the multi-modal traffic dynamics in urban networks and deriving innovative performance indicators. This paper integrates this concept into a multi-modal transport system design framework formulated as a simulation-based optimization problem. In doing so, we consider the competition for limited road space and the operational characteristics, such as congestion occurrences, at the strategic design level. We evaluate the proposed framework in a case study for the Sioux Falls network. Thereby, we deliver a proof of concept, and show that the proposed methodology indeed designs a transport system which benefits the overall system's performance. This paper further advances the integration of sequential model-based optimization techniques, macroscopic traffic flow concepts, and traffic simulation to design multi-modal transport systems. This supports transport planners and local authorities in composing efficient and robust transport networks.

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A Literature Review on Interactions Between Stakeholders Through Accessibility Indicators Under Mobility as a Service Context

2021

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This study aims to explore accessibility indicators influencing the interactions between users, transport service providers (TSPs), and a platform operator, generating a conceptual framework for modeling these interactions under Mobility as a Service context. A systematic literature review was conducted to identify all studies focusing on indicators and modeling the interactions. There are limitations in integrating psychological indicators and dynamic pricing into the existing models. Moreover, there are gaps in considering monthly service packages, the efficiency of transport systems, and the perspectives of the TSPs for modeling the demand–supply interactions. The study ends with conclusions, discussions, and directions for further studies.

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Joint Design of Multimodal Transit Networks and Shared Autonomous Mobility Fleets

Cited by 27 publications

References 32 publications

“Make no little plans”: Impactful research to solve the next generation of transportation problems

“Make no little plans”: Impactful research to solve the next generation of transportation problems

Simulation-Based Design of Urban Bi-modal Transport Systems

A Literature Review on Interactions Between Stakeholders Through Accessibility Indicators Under Mobility as a Service Context

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