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Smart city article details
| Title | Delineation Of Connected Buses And Smart Bus Shelter By Employing Iot And Machine Learning |
|---|---|
| ID_Doc | 18221 |
| Authors | Saravana Kumar E.; Shetty K.; Saravana K.; Vinugna M.K.; Naidu A.S. |
| Year | 2020 |
| Published | Proceedings of the 4th International Conference on IoT in Social, Mobile, Analytics and Cloud, ISMAC 2020 |
| DOI | http://dx.doi.org/10.1109/I-SMAC49090.2020.9243550 |
| Abstract | In this world, one of the major IT (Information Technology) hub is located in Bengaluru, Karnataka, in the developing country of India and hence technological effectuation is expected. Many people are availing the state bus transport facility for their day to day life activities. This research focuses on the concept of smart bus shelter under smart city mission. It promotes the idea of a bus shelter and connected buses. The former is equipped with IoT technologies like smart lights and information kiosk, for the benefit of both stakeholders and commuters. The latter deals with bus schedule information wherein the passengers are made aware of the bus schedule, thereby minimizing the waiting time in the shelter which in turn will lead to the minimization of the crowd density in shelters and as well as buses. The bus shelter is equipped with Zigbee Receiver, Raspberry Pi and other IoT modules which sends data to a cloud periodically. The data is then analysed against the bus schedule for the ease of operations in real-time. Machine learning (ML) algorithm is applied to predict the crowd density well in advance. In addition to all this, an android mobile application and a website have been developed for educating the commuters on bus information and crowd density and help them plan their travel accordingly. © 2020 IEEE. |
| Author Keywords | Cloud; Information Technology; Machine Learning; Raspberry Pi; ZigBee |
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