MUSA–I. towards New Social Tools for Advanced Multi-Modal Transportation in Smart Cities

Abstract

Urban mobility optimization problem has a great focus in the context of Smart cities. To its solution a very important factor is the transport demand, which is mostly inferred using Big Data and Artificial Intelligence techniques from Automatic Fare Collection (AFC) and mobile devices data. In this paper a novel approach, based on Transport Demand Management techniques is proposed, using technology to produce a more active social involvement in the planning and optimization of mobility. This paper describes, a first step to this long-term objective, the general architecture and current implementation of an explicit multi-modal transport demand system for Smart Cities, which is being developed in the frame of MUSA—I project in the city of Madrid.

Contributions and Risks of Artificial Intelligence (AI) in Building Smarter Cities: Insights from a Systematic Review of the Literature

“…AI paradigms Machine learning [26]; [63]; [67][68][69][70]; Probabilistic methods [70]; [73][74][75]; [77]; [80][81][82]; [87]; [90]; [93,94]; [96][97][98][99][100][101]; [112][113][114]; [134]; [136][137][138] Knowledge-based [26]; [63]; [67][68][69][70][71]; [73]; [77,78]; [82]; [92]; [98]; [100]; [112]; [136]; [139][140][141][142]…”

“…This in turn leads to a reduction in energy consumption which in turn leads to lower air and noise pollution, congestion, and other externalities such as the requirements for transportation and parking infrastructure [98,156]. AI can be used for transport optimization by analyzing real-time measurements-such as traffic signal control-to adjust routes [74,97], balance user demands [96], and make parking more efficient [104,113]. Particularly in AVs, these changes can result in substantial reductions in travel time and energy savings [108].…”

Smart Bus Stops as Interconnected Public Spaces for Increasing Social Inclusiveness and Quality of Life of Elder Users

“…Through the use of Individual Services, the smart bus stop can help to foster transport planning in general, not only when passengers are waiting in the stop, but also in any other places using mobile phones or other devices. A massive planning of transport needs can help to develop new ways of organizing transport [22]. suitable when the smart bus stop is in a park or square, where people can be involved in sport, physical and cultural activities.…”

“…The efficiency of planning, from users' as well as from transport providers' point of view, is highly correlated to the level of sensorization of transport means. In the context of MUSA project, this led to increased sensorization of buses installing Automatic Passenger Counters (APC) to know the occupancy of the bus in real-time, the availability of free places for wheelchairs and baby strollers, as well as the flow of passengers in each bus stop [22,23].…”