Abstract
This paper presents a modeling approach developed within the MOTUS project, designed to provide a standardized and solid intervention proposal to face events and disruption on a public transport network. This modeling approach resulted into a tool capable of identify in a formalized way the nodes and links where to broadcast info-mobility information through ITS systems and to lead the users to the best alternative solutions. The tool is exploited to make the decision process less dependent on the expert judgment (that still plays a vital role) and human factors, to allow the service provider to respond in a faster and clear way to the possible disruptions both through info-mobility and the strengthening of the offer on the involved routes. Therefore, this paper describes how the modeling approach is applied, how the resulting tool can be exploited, and finally provides an example on the city of Milan, simulating the closure of one of the main lines and reporting the results provided by the presented model and the developed tool.
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Acknowledgements
The developed tools described in this paper are the results of a collaboration activity between Citilabs and the Mobility and Transport Laboratory—Politecnico di Milano.
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Studer, L., Gandini, P., Marchionni, G., Ponti, M., Arduca, S., Agriesti, S. (2020). A Decision Support System Based on Transport Modeling for Events Management in Public Transport Networks. In: Qu, X., Zhen, L., Howlett, R.J., Jain, L.C. (eds) Smart Transportation Systems 2020. Smart Innovation, Systems and Technologies, vol 185. Springer, Singapore. https://doi.org/10.1007/978-981-15-5270-0_1
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