Cloud based real time data analysis of Electric Vehicle model using Thing Speak through IoT

Thejaswini, R. S. Saundharya; Pradeepa, S.; Phaniraju, H B; Kumar, L. Ashok

doi:10.1109/rteict52294.2021.9573913

Cited by 3 publications

(1 citation statement)

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“…In previous research [4,21,22], traffic conditions and different transport management processes were reviewed in several universities. Empirical evidence was provided regarding the effectiveness of campus bus services and green gestures in ensuring a sustainable environment.…”

Section: Introductionmentioning

confidence: 99%

Development of a Bus Tracking and Monitoring Device Using Arduino Node Microcontroller

Rahimi

Mohamad²,

Kassim³

et al. 2022

AEJ

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Since the opening of Universiti Teknologi MARA Shah Alam Campus (UiTM-SAC), the university has accommodated its students by providing free bus transportation around the campus. The buses are operated based on a specific time schedule. However, students often have to wait a long time for buses because the buses do not usually arrive on schedule. In addition, the bus schedule is manually controlled by an officer, which takes time, and the data can easily be lost. Hence, the goal of this research is to develop a bus tracking and monitoring system for the UiTM-SAC. Arduino node microcontroller unit and global positioning system (GPS) sensors were used to send and receive GPS location information. The data retrieved from these sensors were displayed on an organic light-emitting diode and stored in a web-based software spreadsheet. For the experimental test, only one bus was used for collecting and analysing data. Data were immediately presented on the user interface. The results indicate that the system was able to track and monitor the bus by providing the bus’s latitude, longitude and speed. The results also revealed some key factors that affect the time required for a bus to complete a route based on users’ demands at that time. The difference in demand was 76.2%, as most students use the UiTM bus service in the morning than in the evening. In conclusion, by using the proposed bus campus tracking and monitoring system, users can easily find the exact location of buses running at the UiTM-SAC

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Section: Introductionmentioning

confidence: 99%