Journal cover Journal topic
Proceedings of the ICA
Journal topic
Articles | Volume 2
10 Jul 2019
 | 10 Jul 2019

Floating Car Data and Fuzzy Logic for classifying congestion indexes in the city of Shanghai

Maja Kalinic and Jukka M. Krisp

Keywords: Fuzzy logic, Floating Car Data, FCD, Traffic Congestion, Congestion Index

Abstract. In this paper, we use Floating Car Data from the city of Shanghai and Fuzzy Inference model to detect congestion indexes throughout the city. We aim to investigate to which extent traffic congestion is severe during afternoon rush hour. Additionally, we compare our results to the ones obtained by calculating congestion indexes on conventional way. Although we do not argue that our model is the best measure of congestion, it does allow the mechanism to combine different measures and to incorporate the uncertainty in the individual measures so that the compound picture of congestion can be reproduced.

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