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Full-Text Articles in Physical Sciences and Mathematics
Towards Agent-Based Traffic Simulation Using Live Data From Sensors For Smart Cities, Johan Barthelemy, Yan Qian, Pascal Perez
Towards Agent-Based Traffic Simulation Using Live Data From Sensors For Smart Cities, Johan Barthelemy, Yan Qian, Pascal Perez
SMART Infrastructure Facility - Papers
The Smart City and Internet-of-Things revolutions enable the collection of various types of data in real-time through sensors. This data can be used to improve the decision tools and simulations used by city planners. This paper presents a new framework for real-time traffic simulation integrating an agent-based methodology with live CCTV and other sensor data while respecting the privacy regulations. The framework simulates traffic flows of pedestrians, vehicles and bicycles and their interactions. The approach has been applied in Liverpool (NSW, Australia) showing promising preliminary results and can easily ingest additional sensor data, e.g. air quality.
Assessing The Effects Of Mobility On Air Quality: The Liverpool Smart Pedestrian Project, Nicolas R. Verstaevel, Johan Barthelemy, Hugh I. Forehead, Bilal Arshad, Pascal Perez
Assessing The Effects Of Mobility On Air Quality: The Liverpool Smart Pedestrian Project, Nicolas R. Verstaevel, Johan Barthelemy, Hugh I. Forehead, Bilal Arshad, Pascal Perez
SMART Infrastructure Facility - Papers
With the drastic increase of their urban population, cities face huge challenges to maintain and update their infrastructures. Assessing in real time the effect of urban policies will be a key tool in the future of urban planning. In this paper, we discuss of mobility and its impact on air quality. We introduce a pilot project in which low cost IoT sensors are used to monitor flow of cars and pedestrians and concentration of particulate matters within the Australian city of Liverpool.