Optimal path planning for urban vehicles using Internet of Things: a new navigation perspective

Alawadhi, Nayef and Taha Alshaikhli, Imad Fakhri and Alkandari, Abdulrahman and Tahir, Mahnaz (2019) Optimal path planning for urban vehicles using Internet of Things: a new navigation perspective. Journal of Computational and Theoretical Nanoscience, 16 (3). pp. 1074-1080. ISSN 1546-1955 E-ISSN 1546-1963

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Abstract

One of the important applications in intelligent transportationsystem is path planning for vehicles at urban areas. A driver can reach a destination in a short time with a pleasant ride using less fuel and reach his or her destination safely. However, the destination status may change, and no more becomes a desired destination. In this paper we highlighted, discussed and analyzed related works for vehicle’s path planning using Internet of Things (IoT). A new perspective for the destination was also proposed which defines how important considering the updated information of the destination in real-time using IoT that brings driver’s attention when planning for a trip. A mathematical model for an optimal path planning was introduced which composes of two cost functions; path planning function and destination function. A gas station scenario was introduced as an example to demonstrate the proposed model. Futuristic look at integration design for the proposedsystem was also highlighted.

Item Type:	Article (Journal)
Additional Information:	6534/76752
Uncontrolled Keywords:	Path Planning, Navigation, IoT, Autonomic Computing, Urban Vehicle
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Information and Communication Technology > Department of Computer Science Kulliyyah of Information and Communication Technology > Department of Computer Science
Depositing User:	Professor Imad Taha
Date Deposited:	12 Dec 2019 09:58
Last Modified:	26 Feb 2020 16:12
URI:	http://irep.iium.edu.my/id/eprint/76752

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