Improving Traffic in Urban Environments
Lara Codecà, Raphaël Frank, Thomas Engel
Abstract
Lara Codecà, Raphaël Frank, Thomas Engel
Abstract
The vehicular traffic in the cities is increasing every year. The road infrastructure in many metropolitan areas is not able to sustain the rush-hour traffic demand and the extension of the road network cannot easily be done. There are some solution proposed to improve the traffic situation, among them, the optimization of the resources already available by means of collecting real time Floating Car Data (FCD) from the vehicles and use them to suggest dynamic routes in order to minimize travel delays. The centralized infrastructure able to achieve this goal has already been presented in ”Improving Traffic in Urban Environments applying the Wardrop Equilibrium” (Codeca, L. et al., 2013). In this extended abstract we present the decentralized version of the system and the preliminary results of its evaluation.
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The vehicular traffic in the cities is increasing every year. The road infrastructure in many metropolitan areas is not able to sustain the rush-hour traffic demand and the extension of the road network cannot easily be done. There are some solution proposed to improve the traffic situation, among them, the optimization of the resources already available by means of collecting real time Floating Car Data (FCD) from the vehicles and use them to suggest dynamic routes in order to minimize travel delays. The centralized infrastructure able to achieve this goal has already been presented in ”Improving Traffic in Urban Environments applying the Wardrop Equilibrium” (Codeca, L. et al., 2013). In this extended abstract we present the decentralized version of the system and the preliminary results of its evaluation.
Key concepts: Computer science, Geography, Transport engineering, Engineering