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Influence of Virtual Road Traffic Sensors of Oporto for Origin-Destination Matrix Estimation

The knowledge of urban mobility patterns is important to maintain good public services as well as to improve city planning. These mobility patterns can be characterized by using expensive fieldwork or analyzing the huge amount of data available from services and environmental monitoring in smart cities. The origin-destination matrix estimation (ODME) aims to estimate the traffic of vehicles between origin and destination areas in the city of OPorto in Portugal from traffic observed from sensors installed at roads. This estimation is stated as an optimization problem and solved by linear programming. The results have shown that the number and location of sensors are important issues to be considered.