Euclides: uma ferramenta para avaliar o impacto de congestionamentos não recorrentes

Abstract

Aiming at ensuring the mobility of goods and people, large cities have made investments to monitor, manage and analyze the road network and the traffic flow. The implementation of traffic monitoring systems, however, requires a considerable amount of investment in equipment and qualified personnel to simply get data. Investments are even greater when it is necessary to process and analyze the data and produce information that supports operational measures to control traffic and strategic measures for the definition of investment in infrastructure and public policies in the transportation area. In order to reduce the cost and facilitate the collection of information about traffic flows, this dissertation presents a methodology to assess the impact of a non-recurring event causes the roads in the surrounding area. Examples of non-recurring events are vehicle accidents, track maintenance works, maintenance of a traffic light or any other unforeseen circumstances which affect the flow of vehicles on site. The monitoring points can be defined manually or automatically with information coming from specialized social networks. The information about the vehicle flow in the event of the region is obtained from the free maps services available on the Internet. The data are processed to present the analysis of the influence of the event on the traffic flow in the region. The system was evaluated with real data collected from event information indicated through social networks, in Salvador, demonstrating the viability and potential of the proposed solution.