Enhancing parking efficiency: An innovative vehicle scheduling algorithm

Document Type

Conference Proceeding

Source of Publication

Proceedings - 2024 IEEE International Conference on Information Reuse and Integration for Data Science, IRI 2024

Publication Date

1-1-2024

Abstract

Vehicle Parking queues in smart cities are typically managed in a first come, first serve manner. These queues are sorted on the basis of vehicle arrival time and neglect crucial vehicle information and the size of the parking area. Vehicle information consists of the vehicle's nature, size, type, etc. Established parking systems allow any vehicles with reservation, and hence different heavyweight and unsuitable vehicles, to enter into congested roads, causing unnecessary traffic jams and inconvenience for the public. To overcome the above-mentioned issues, this research study proposes an efficient and robust vehicle scheduling algorithm known as Priority Vehicle Scheduler (PVS). The scheduler arranges vehicles based on their nature, size, and other properties. The proposed algorithm is compared with the traditional algorithm First Come First Serve (FCFS) and Shortest Job First (SJF) in terms of three parameters using a detailed simulation. These parameters are the degree of congestion, environmental pollution and throughput. The simulation results show that the proposed algorithm performs better in all three parameters, thus keeping heavy and loaded vehicles outside the congested roads and prioritising emergency vehicles.

ISBN

[9798350351187]

Publisher

IEEE

First Page

76

Last Page

81

Disciplines

Computer Sciences

Keywords

cloud, fog computing, IoT, PVS

Scopus ID

85207829529

Indexed in Scopus

yes

Open Access

no

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