Varad Sham Kulkarni, Bhairo Amankumar Jaibir, Patel Rudra Nayneshkumar, Vraj Pujara, R. V. Chander, Himadri Vegad
{"title":"Enhancing Campus Connectivity: A Smart Intra-Transit Strategy for Efficient Vehicle Throughput","authors":"Varad Sham Kulkarni, Bhairo Amankumar Jaibir, Patel Rudra Nayneshkumar, Vraj Pujara, R. V. Chander, Himadri Vegad","doi":"10.32628/cseit2490218","DOIUrl":null,"url":null,"abstract":"An advanced vehicle monitoring, and seat availability system is designed to monitor the vehicles from any source location A to destination location B in real time to the passengers. The proposed system would make good use of modern technologies via leveraging ultrasonic sensors, cloud API for example Thing Speak, and in-house Word Press software. The system track’s location, speed, and passenger count in real-time. This data fuels optimized scheduling and route planning, maximizing seat occupancy, and boosting overall productivity. A user-friendly dashboard visualizes vehicle activity within designated time slots, empowering faculty, and administrators with data-driven insights for improved resource allocation and scheduling. By comprehensively monitoring location, speed, and passenger count, the system ensures efficient Electric Vehicle operation within the campus confines, ultimately revolutionizing campus transportation and maximizing resource utilization.","PeriodicalId":313456,"journal":{"name":"International Journal of Scientific Research in Computer Science, Engineering and Information Technology","volume":"5 48","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Scientific Research in Computer Science, Engineering and Information Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.32628/cseit2490218","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
An advanced vehicle monitoring, and seat availability system is designed to monitor the vehicles from any source location A to destination location B in real time to the passengers. The proposed system would make good use of modern technologies via leveraging ultrasonic sensors, cloud API for example Thing Speak, and in-house Word Press software. The system track’s location, speed, and passenger count in real-time. This data fuels optimized scheduling and route planning, maximizing seat occupancy, and boosting overall productivity. A user-friendly dashboard visualizes vehicle activity within designated time slots, empowering faculty, and administrators with data-driven insights for improved resource allocation and scheduling. By comprehensively monitoring location, speed, and passenger count, the system ensures efficient Electric Vehicle operation within the campus confines, ultimately revolutionizing campus transportation and maximizing resource utilization.
设计了一个先进的车辆监控和座位可用性系统,用于实时监控从任何来源地 A 到目的地 B 的车辆,并向乘客提供信息。通过利用超声波传感器、云 API(例如 Thing Speak)和内部 Word Press 软件,拟议的系统将很好地利用现代技术。该系统可实时跟踪位置、速度和乘客人数。这些数据有助于优化调度和路线规划,最大限度地提高座位占用率,提高整体生产率。用户友好型仪表板可直观显示指定时段内的车辆活动,使教师和管理人员能够获得数据驱动的洞察力,从而改进资源分配和调度。通过全面监控位置、速度和乘客人数,该系统可确保电动车辆在校园范围内高效运行,最终彻底改变校园交通,最大限度地提高资源利用率。