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In collaboration with OCTO Telematics and Roma Servizi per la Mobilit\u00e0, we have developed a data-driven study on private mobility within Rome’s Green Zone. The objective was to build a solid knowledge base, based on real vehicle data, in order to support access regulation strategies and emissions reduction. Furthermore, the analysis made it possible to define indicators useful for operational planning and the calibration of future limitation scenarios.<\/p>\n
The activities included statistical analysis of a sample of over 57,500 connected vehicles, monitored for three months via OCTO black boxes. Mileage, travel times and hourly distributions were calculated for each emission class and fuel type. Furthermore, electric and thermal mobility behaviours were distinguished in order to assess different dynamics. At the same time, a high-resolution zoning system was developed, consisting of over 27,000 territorial cells, which was used to analyse approximately 6 million journeys recorded in the Green Area.<\/p>\n
The analysis examined the proportion of journeys made by non-compliant vehicles and simulated scenarios involving the gradual extension of restrictions to the most polluting categories. In addition, indicators relating to daily and mileage bonuses have been defined, calibrated to different access thresholds. Separate time profiles were also developed for residents and non-residents, in order to highlight differences in behaviour between low-impact vehicles and traditional vehicles.<\/p>\n
The results were validated through field surveys in five traffic sections and compared with ACI data to ensure methodological robustness. Consequently, the study provided a reliable technical framework for calibrating the Roma Servizi per la Mobilit\u00e0 simulation model. The output therefore supports the definition of management measures for the Green Belt and guides local policies towards more sustainable and resilient mobility.<\/p>\n
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Mobility planning: data-driven analysis of Rome’s Green Belt Study approach and objectives In collaboration with OCTO Telematics and Roma Servizi per la Mobilit\u00e0, we have developed a data-driven study on private mobility within Rome’s Green Zone. The objective was to build a solid knowledge base, based on real vehicle data, in order to support […]<\/p>\n","protected":false},"author":1,"featured_media":2593,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[839],"tags":[881,873,880,851],"class_list":["post-2592","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-mobility-planning","tag-black-box","tag-floating-car-data","tag-green-belt","tag-sustainable-mobility"],"yoast_head":"\n