Transit Planning Support System: A Novel View

Itzhak Benenson, Aleksey Ogulenko, Nir Sharav, Robert Ishaq

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Public transport network design is the goal of numerous projects, and the models and algorithms that facilitate this design are the focus of transportation science research. Yet this great variety of tools is hardly employed in planning practice. We claim that the reason for this gap is the inability of the formal approaches to make the planner a part of the sustainable mobility design. To bridge between the analytical methods and planners we propose a novel Transit Planning Support System (TPSS). The TPSS is based on heuristic optimization algorithms for establishing and canceling transit lines, and agent-based models for assessing travelers' adoption of the proposed changes. TPSS remains open for the planner's intervention at every stage, bringing the sustainable mobility mindset into the design process.

Original languageEnglish
Title of host publicationSUMob 2024 - Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Sustainable Urban Mobility
EditorsStephan Winter, Monika Sester, Latifa Oukhellou
PublisherAssociation for Computing Machinery, Inc
Pages1-4
Number of pages4
ISBN (Electronic)9798400711558
DOIs
StatePublished - 29 Oct 2024
Event2nd ACM SIGSPATIAL International Workshop on Sustainable Urban Mobility, SUMob 2024 - Atlanta, United States
Duration: 29 Oct 2024 → …

Publication series

NameSUMob 2024 - Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Sustainable Urban Mobility

Conference

Conference2nd ACM SIGSPATIAL International Workshop on Sustainable Urban Mobility, SUMob 2024
Country/TerritoryUnited States
CityAtlanta
Period29/10/24 → …

Funding

FundersFunder number
Yuval Shiftan
Eran Melamud
Israeli Smart Transportation Research Center2022-2024

    Keywords

    • Agent-Based Modeling
    • Evolutionary Algorithm
    • Planning Support System
    • Public Transport
    • Transit Network Design

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