Abstract
The trend of limiting vehicular traffic to the benefit of public transport is developed in contemporary urban planning. One of the tasks is determining location of the collective parking places in the P&R system. Criteria for assessing the quality of the selected location are formulated generally and descriptively. However, the factors to be assessed are often ambiguous and fuzzy, difficult to be precisely determined but possible for the evaluation by an expert. Due to the large number of parameters of criteria the practice has shown that the choice of the location of these sites in a way that is intuitive without a detailed analysis of all the circumstances, often gives negative results. Then the existing facilities are not used as expected. The authors have used fuzzy inference to the evaluation of the location of the P&Rs based on fuzzy input parameters. The obtained results of the analysis allows to determine the degree of attractiveness of the selected place on the basis of a broad set of the expert input data. The proposed evaluation method has been tested on three existing facilities for which the effect is already known.
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Lower, M., Lower, A. (2015). Evaluation of the Location of the P&R Facilities Using Fuzzy Logic Rules. In: Zamojski, W., Mazurkiewicz, J., Sugier, J., Walkowiak, T., Kacprzyk, J. (eds) Theory and Engineering of Complex Systems and Dependability. DepCoS-RELCOMEX 2015. Advances in Intelligent Systems and Computing, vol 365. Springer, Cham. https://doi.org/10.1007/978-3-319-19216-1_24
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DOI: https://doi.org/10.1007/978-3-319-19216-1_24
Publisher Name: Springer, Cham
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