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Tangramob: An Agent-Based Simulation Framework for Validating Urban Smart Mobility Solutions
Univ Camerino, Sch Sci & Technol, Via Madonna delle Carceri 9, Camerino, MC, Italy..
Univ Camerino, Sch Sci & Technol, Camerino, MC, Italy..
Univ Camerino, Sch Sci & Technol, Camerino, MC, Italy..
Univ Camerino, Sch Sci & Technol, Camerino, MC, Italy..
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2020 (English)In: Journal of Intelligent Systems, ISSN 0334-1860, E-ISSN 2191-026X, Vol. 29, no 1, p. 1188-1201Article in journal (Refereed) Published
Abstract [en]

Estimating the effects of introducing a range of smart mobility solutions within an urban area is a crucial concern in urban planning. The lack of a simulator for the assessment of mobility initiatives forces local public authorities and mobility service providers to base their decisions on guidelines derived from common heuristics and best practices. These approaches can help planners in shaping mobility solutions; however, given the high number of variables to consider, the effects are not guaranteed. Therefore, a solution conceived respecting the available guidelines can result in a failure in a different context. In particular, difficult aspects to consider are the interactions between different mobility services available in a given urban area and the acceptance of a given mobility initiative by the inhabitants of the area. In order to fill this gap, we introduce Tangramob, an agent-based simulation framework capable of assessing the impacts of a smart mobility initiative within an urban area of interest. Tangramob simulates how urban traffic is expected to evolve as citizens start experiencing newly offered traveling solutions. This allows decision makers to evaluate the efficacy of their initiatives, taking into account the current urban system. In this paper, we provide an overview of the simulation framework along with its design. To show the potential of Tangramob, three mobility initiatives are simulated and compared in the same scenario. This demonstrates how it is possible to perform comparative experiments so as to align mobility initiatives to the user goals.

Place, publisher, year, edition, pages
WALTER DE GRUYTER GMBH , 2020. Vol. 29, no 1, p. 1188-1201
Keywords [en]
Smart mobility, agent-based traffic simulations, smart urban planning
National Category
Other Computer and Information Science Transport Systems and Logistics
Identifiers
URN: urn:nbn:se:mdh:diva-46725DOI: 10.1515/jisys-2018-0321ISI: 000504634100078Scopus ID: 2-s2.0-85078120191OAI: oai:DiVA.org:mdh-46725DiVA, id: diva2:1386291
Available from: 2020-01-17 Created: 2020-01-17 Last updated: 2020-02-13Bibliographically approved

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Forcina, Giorgio

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