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

• Main Authors: Alawadhi, Nayef, Taha Alshaikhli, Imad Fakhri, Alkandari, Abdulrahman, Tahir, Mahnaz
• Format: Article
• Language: English; English
• Published: American Scientific Publishers 2019
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://irep.iium.edu.my/76752/1/16CTN-7999-nayef.pdf; http://irep.iium.edu.my/76752/7/76752_Optimal%20path%20planning%20for%20urban%20vehicles%20using%20Internet%20of%20Things-%20A%20new%20navigation%20perspective_Scopus.pdf; http://irep.iium.edu.my/76752/; http://www.aspbs.com/ctn/
• Institution: Universiti Islam Antarabangsa Malaysia

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.