NDLI: A Hybrid Heuristic for Solving a Parking Slot Assignment Problem for Groups of Drivers

Content Provider	Springer Nature Link
Author	Abidi, Sofiene Krichen, Saoussen Alba, Enrique Bravo, Juan Miguel Molina
Copyright Year	2016
Abstract	Smart cities are attracting attention today as life in urban areas is becoming a growing challenge. Among many other problems, finding a free parking space is probably one of the major inconveniences for the citizens of a big city, especially in the city center and other crowded areas. The search for a parking place is a task which can consume a lot of time and affect the efficiency of economic activities, social interactions, and the health of citizens. The planners of transport and city traffic must pay close attention to this issue in order to achieve an efficient management of mobility in smart cities. The work presented here is intended to serve as an aid in the search for parking, seeking the general interest of a group of drivers. We present a comprehensive description of the problem and apply it to four particular cases with increasing levels of difficulty. Also, we propose a hybrid genetic algorithm for solving these cases and we compare it with other four algorithms in order to evaluate its performance. Experimental results driven on a simulation tests based to a real case study, show that the hybrid genetic algorithm generates promising solutions compared to state of the art algorithms.
Starting Page	85
Ending Page	97
Page Count	13
File Format	PDF
ISSN	13488503
Journal	International Journal of Intelligent Transportation Systems Research
Volume Number	15
Issue Number	2
e-ISSN	18688659
Language	English
Publisher	Springer US
Publisher Date	2016-01-28
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Smart cities Parking Assignment problems Genetic algorithms Electrical Engineering Automotive Engineering Robotics and Automation Computer Imaging, Vision, Pattern Recognition and Graphics Civil Engineering User Interfaces and Human Computer Interaction
Content Type	Text
Resource Type	Article

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