Exploring crowdsourcing information to predict traffic-related impacts

@article{Tafidis2017ExploringCI,
  title={Exploring crowdsourcing information to predict traffic-related impacts},
  author={Pavlos Tafidis and Jox00E3o Teixeira and Behnam Bahmankhah and Elox00EDsa Macedo and Margarida C. Coelho and Jorge M Bandeira},
  journal={2017 IEEE International Conference on Environment and Electrical Engineering and 2017 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)},
  year={2017},
  pages={1-6}
}
Due to the increased public awareness on global climate change and other environmental problems, advanced strategies and tools are being developed and used to reduce the environmental impact of transport. The main objective of this paper is to explore the potential of using crowdsourcing information as an alternative or complementary source data to predict traffic-related impacts. Three main road connections to two important commercial areas in the city of Aveiro in Portugal, are examined… CONTINUE READING

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