Smart Turn Using IOT
With cities expanding rapidly and the number of vehicles on the roads rising, there is a growing demand for transportation systems that are not only smarter but also safer and more efficient. A major factor contributing to road accidents is the lack of clear communication from drivers, especially during maneuvers like turning or changing lanes. Conventional turn indicators depend on the driver's manual input, which can be compromised by distraction, forgetfulness, or carelessness. This often leads to unclear signaling, increasing the risk of accidents. The Smart Turn initiative presents an innovative, intelligent solution that automates turn indication by leveraging real-time navigation data and integrated sensors. The goal is to remove the need for manual signaling, offering both greater convenience and enhanced safety for drivers. The system utilizes the TomTom Maps API to access real-time navigation directions, which are interpreted by a microcontroller such as the ESP32 or Arduino Uno. Based on this navigation input, the system can accurately anticipate directional changes and automatically activate the correct turn signals approximately 40 meters before an expected turn. Once the maneuver is completed, the system disables the indicator autonomously, thereby preventing misleading or prolonged signaling. The microcontroller acts as the brain of the operation, coordinating between incoming data, internal logic, and the vehicle’s physical components, including relays and LEDs. This automated approach eases the mental burden on drivers, allowing for improved focus on their surroundings and the road ahead.
Authors
- Arul Selvan M (ORCID: https://orcid.org/0000-0003-4778-2356)
- Ableev S.R.
Publication Details
- Journal
- INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
- Published
- 2025-08-21
- DOI
- https://doi.org/10.55041/ijsrem51920
- Primary Topic
- IoT and GPS-based Vehicle Safety Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00