Geospatial Dashboards for Intelligent Multimodal Traffic Management

Abstract

This paper presents the current status and future outlook of Traffic Management as a Service (TMaaS). TMaaS is an innovative web platform that provides a cloud-based vendorneutral multimodal traffic management solution for small and medium-sized cities. Urban mobility data from several stakeholders and public service providers is integrated and visualized in a clean, intuitive and customizable interface for traffic operators and citizens. Index Terms-traffic management as a service, traffic management, urban mobility, smart city, data integration, data visualization

Big Data Analytics and Visualization in Traffic Monitoring

“…Extensive surveys on traffic management key requirements have been employed in the Traffic Management as a Service (TMaaS) project [14], 1 which aims to provide interactive traffic management dashboards for the traffic operators along with personalized mobility services for the citizens. TMaas uses an architecture designed to be flexible, lightweight, data-independent, and vendorindependent.…”

“…Traffic data concern both data coming from sensor and data generated by a traffic simulation model. The dashboard empowers traffic managers of public administrations to TA-Dash [13] TMaaS [14] Porto Traffic dashboard [15] UK RTA platform [16] IVA platform [17] TTD The TTD requirements, listed in the following, have been collected during the Trafair annual meeting held in Zaragoza in November 2019; they are the result of the needs expressed by public administrations and the dialogue and discussion with environmental experts, mobility managers, and researchers who have worked together to investigate urban traffic and its impact on air quality: R0 automatically updating visualization of real-time traffic flow in the city, R1 visualization of sensor positions, last measurements, sensor's behavior, and the reliability of the measurements; R2 statistical information about traffic sensor measurements; R3 visualization of the average day of the week trends and other aggregations in space and time; R4 historical trends of traffic flow in the urban area; R5 traffic impact on urban air quality.…”

An Eco-Friendly Multimodal Route Guidance System for Urban Areas Using Multi-Agent Technology

“…The works discussed in [14,50,52,53] focused on overcoming traffic management issues by deploying centralized architectures. Other works, e.g., [14,50], relied on travel time estimations calculated from historical datasets and did not use live traffic data.…”

“…Other works, e.g., [14,50], relied on travel time estimations calculated from historical datasets and did not use live traffic data. These solutions [14,52] did not consider the congestion cost (e.g., carbon emissions) for promoting sustainable travel. Finally, the offered solutions [52,53] did not offer a mobile app to guide commuters through the optimum route.…”

“…These solutions [14,52] did not consider the congestion cost (e.g., carbon emissions) for promoting sustainable travel. Finally, the offered solutions [52,53] did not offer a mobile app to guide commuters through the optimum route.…”