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@article{178247,
        author = {MAROJU NAGESHWAR and JAMPALA DHANUSH and M.Srikanth and Krishnasagarapu Anil Kumar and Mr.K. RAMESH},
        title = {Smart Transportation system using IoT},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {3993-3999},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=178247},
        abstract = {This paper presents the design and implementation of an intelligent transportation system leveraging the Internet of Things (IoT) to enhance safety, security, and operational efficiency. The proposed system integrates a suite of sensors and communication modules to monitor critical parameters and provide real-time insights. Specifically, an MQ# gas sensor is employed to detect hazardous gas leaks, while a MAX30100 pulse oximeter monitors the physiological state of the vehicle occupant, potentially identifying medical emergencies. Location tracking is facilitated by a GPS module, enabling real-time vehicle positioning and route optimization. An ESP32 camera provides visual surveillance, enhancing security and accident analysis capabilities.
Actuation and notification are achieved through a relay for remote control, a buzzer for immediate alerts, and an LED for visual indications. Data from these sensors and modules are aggregated and transmitted wirelessly via NodeMCU ESP8266 to the Blynk server, a cloud-based IoT platform. This allows for remote monitoring and control through a dedicated mobile application developed using the Blynk app. The system facilitates proactive safety measures, such as early detection of gas leaks and potential driver incapacitation, alongside enhanced security through remote visual monitoring and efficient fleet management via real-time location tracking. The integration of these diverse components into a cohesive IoT framework demonstrates a cost-effective and scalable solution for developing smarter and safer transportation systems. This research contributes to the growing field of intelligent transportation by showcasing a practical implementation with readily available hardware and open-source software, paving the way for future advancements in vehicular safety and operational efficiency.},
        keywords = {MQ3 Sensor, MAX30100 Pulse Oxy Meter, GPS module, ESP 32 camera, Relay, Buzzer, LED, Node MCU},
        month = {May},
        }