2021Unpublished venueRequires access

Bandwidth Optimization for Fleet Monitoring Systems

Subodha Gunawardena, Tharukshi Dissanayake, Pasindu Piyathilaka, Rasha A. Mohammed

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Abstract

Fleet Monitoring Systems are utilized by various organizations to manage their fleets of vehicles and associated drivers which leads to reduction in operational costs, improve time efficiency and ensure compliance across an entire fleet operation. With recent technological developments fleet monitoring has become far more feasible and their features have improved beyond the classical location tracking, which has made them popular among the fleet administrators. In location tracking, a continuous stream of GPS locations with a shorter time interval between adjacent locations helps to map the traversed path accurately. The shorter the time interval between adjacent GPS locations, the larger the number of GPS locations obtained during a given time interval and the higher the accuracy of the resultant traversed path. However, the larger the number of GPS locations in the continuous GPS data stream, the larger the size of the payload that has to be transmitted to the server from the tracking device at the vehicle. The main contribution of this work is to propose a methodology to reduce the size of the payload to be transmitted to the server, while holding the accuracy of the traversed path. Our results show that the size of the payload of GPS location data can be reduced more than 75 percent with the application of proposed methodology.

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What this paper is about

Fleet Monitoring Systems are utilized by various organizations to manage their fleets of vehicles and associated drivers which leads to reduction in operational costs, improve time efficiency and ensure compliance across an entire fleet operation. With recent technological developments fleet monitoring has become far more feasible and their features have improved beyond the classical location tracking, which has made them popular among the fleet administrators. In location tracking, a continuous stream of GPS locations with a shorter time interval between adjacent locations helps to map the traversed path accurately. The shorter the time interval between adjacent GPS locations, the larger the number of GPS locations obtained during a given time interval and the higher the accuracy of the resultant traversed path. However, the larger the number of GPS locations in the continuous GPS data stream, the larger the size of the payload that has to be transmitted to the server from the tracking device at the vehicle. The main contribution of this work is to propose a methodology to reduce the size of the payload to be transmitted to the server, while holding the accuracy of the traversed path. Our results show that the size of the payload of GPS location data can be reduced more than 75 percent with the application of proposed methodology.

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Available abstract

Fleet Monitoring Systems are utilized by various organizations to manage their fleets of vehicles and associated drivers which leads to reduction in operational costs, improve time efficiency and ensure compliance across an entire fleet operation. With recent technological developments fleet monitoring has become far more feasible and their features have improved beyond the classical location tracking, which has made them popular among the fleet administrators. In location tracking, a continuous stream of GPS locations with a shorter time interval between adjacent locations helps to map the traversed path accurately. The shorter the time interval between adjacent GPS locations, the larger the number of GPS locations obtained during a given time interval and the higher the accuracy of the resultant traversed path. However, the larger the number of GPS locations in the continuous GPS data stream, the larger the size of the payload that has to be transmitted to the server from the tracking device at the vehicle. The main contribution of this work is to propose a methodology to reduce the size of the payload to be transmitted to the server, while holding the accuracy of the traversed path. Our results show that the size of the payload of GPS location data can be reduced more than 75 percent with the application of proposed methodology.

Key concepts: Global Positioning System, Payload (computing), Real-time computing, Computer science, Interval (graph theory), Tracking (education), Bandwidth (computing), Vehicle tracking system

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