2018/05/28 by Carlo Castagnari, Castagnari, Carlo, Flavio Corradini +9 · 1 citation
Computer Science · Engineering · Social Sciences · #FOS: Computer and information sciences #Human Mobility and Location-Based Analysis #Mobile Crowdsensing and Crowdsourcing #Multiagent Systems (cs.MA) #Transportation Planning and Optimization #Transportation and Mobility Innovations
paper · pdf · doi:10.48550/arxiv.1805.10906
openalex publication_date 2018/05/28 · openalex created_date 2022/10/05 · openalex updated_date 2026/07/28
Estimating the effects of introducing a range of smart mobility solutions\nwithin an urban area is a crucial concern in urban planning. The lack of a\nDecision Support System (DSS) for the assessment of mobility initiatives,\nforces local public authorities and mobility service providers to base their\ndecisions on guidelines derived from common heuristics and best practices.\nThese approaches can help planners in shaping mobility solutions, but given the\nhigh number of variables to consider the effects are not guaranteed. Therefore,\na solution conceived respecting the available guidelines can result in a\nfailure in a different context. In particular, difficult aspects to consider\nare the interactions between different mobility services available in a given\nurban area, and the acceptance of a given mobility initiative by the\ninhabitants of the area. In order to fill this gap, we introduce Tangramob, an\nagent-based simulation framework capable of assessing the impacts of a Smart\nMobility Initiative (SMI) within an urban area of interest. Tangramob simulates\nhow urban traffic is expected to evolve as citizens start experiencing the\nnewly offered traveling solutions. This allows decision makers to evaluate the\nefficacy of their initiatives taking into account the current urban system. In\nthis paper we provide an overview of the simulation framework along with its\ndesign. To show the potential of Tangramob, 3 mobility initiatives are\nsimulated and compared on the same scenario. This shows how it is possible to\nperform comparative experiments so as to align mobility initiatives to the user\ngoals.\n