Optimization of a CPSS-based Flexible Transportation System


M. Dziubany, J. Schneider, A. Schmeink, G. Dartmann,


        This paper maximizes the expected profits of a cyber-physical social system (CPSS) for flexible passenger transportation. In the CPSS-based transportation system users can choose from an assortment of travel offers. When shared rides are proposed, the users have a great impact on the system performance, since every passenger of the proposed shared ride is able to choose another travel option or to reject it. In the worst case, the rejections result in a not profitable transportation of the passengers accepting the shared ride. To draw attention to this problem, a mixed integer problem considering the choices of the customers is formulated and applied to synthetic data. At last, a heuristic based on the idea of forming best pairs is proposed and evaluated.

BibTEX Reference Entry 

	author = {Matthias Dziubany and Jens Schneider and Anke Schmeink and Guido Dartmann},
	title = "Optimization of a CPSS-based Flexible Transportation System",
	pages = "1-5",
	booktitle = "2020 9th Mediterranean Conference on Embedded Comp",
	address = {Budva, Montenegro},
	doi = 10.1109/MECO49872.2020.9134272,
	month = Jun,
	year = 2020,
	hsb = RWTH-2020-09395,


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