Submit your paper : editorIJETjournal@gmail.com Paper Title : Smart Road Crossing Indicator using Arduino ISSN : 2395-1303 Year of Publication : 2022 10.5281/zenodo.6894569 MLA Style: - B.Bhavana, G.S.L Manaswini, N.Pavani, T.Sadhana, Dr.C.Padmaja, Smart Road Crossing Indicator using Arduino , Volume 8 - Issue 4 July- August 2022 International Journal of Engineering and Techniques (IJET) ,ISSN:2395-1303 , www.ijetjournal.org APA Style: - B.Bhavana, G.S.L Manaswini, N.Pavani, T.Sadhana, Dr.C.Padmaja, Smart Road Crossing Indicator using Arduino , Volume 8 - Issue 4 July- August 2022 International Journal of Engineering and Techniques (IJET) ,ISSN:2395-1303 , www.ijetjournal.org Abstract This project mainly focuses on reducing the problems that occur while crossing roads and control traffic effectively. The ideal idea for smart roads is a accident prevention system. It is a project with an innovative idea for safety on roads. Here, we use Arduino UNO as a controller, connects Hall Effect sensors, LED (traffic signals), Servo motor and Wi-Fi module. If there is an obstacle in front of the Hall Effect sensor and it is a vehicle then it sense the magnetic field and then it indicates as a heavy traffic. Based on density (heavy/less) of traffic green signal timer changes. There is also a pedestrian gate works for pedestrians with the help of servo motor. All the signal can monitor in a blynk app with the help of wifi module. Reference 1. [1] Hu, S., Su, L., Liu, H., Wang, H., & Abdelzaher, T. F. (2013, April). Smartroad: a crowd-sourced traffic regulator detection and identification system. In 2013 ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN) (pp. 331-332). IEEE. 2. Hu, S., Su, L., Liu, H., Wang, H., & Abdelzaher, T. F. (2015). Smartroad: Smartphone-based crowd sensing for traffic regulator detection and identification. ACM Transactions on Sensor Networks (TOSN), 11(4), 1-27. 3. Williamson, A., & Lennon, A. (2015). Pedestrian self-reported exposure to distraction by smart phones while walking and crossing the road. In Proceedings of the 2015 Australasian Road Safety Conference (ARSC2015) (pp. 1-11). Australasian College of Road Safety (ACRS). 4. Viani, F., Polo, A., Giarola, E., Robol, F., Benedetti, G., & Zanetti, S. (2016, September). Performance assessment of a smart road management system for the wireless detection of wildlife road-crossing. In 2016 IEEE International Smart Cities Conference (ISC2) (pp. 1-6). IEEE. 5. Pau, G., Campisi, T., Canale, A., Severino, A., Collotta, M., & Tesoriere, G. (2018). Smart pedestrian crossing management at traffic light junctions through a fuzzy-based approach. Future Internet, 10(2), 15. 6. Saad, W. K., Hashim, Y., & Jabbar, W. A. (2020). Design and implementation of portable smart wireless pedestrian crossing control system. IEEE Access, 8, 106109-106120. 7. El Hamdani, S., Benamar, N., & Younis, M. (2020). A protocol for pedestrian crossing and increased vehicular flow in smart cities. Journal of Intelligent Transportation Systems, 24(5), 514-533. Keywords - Hall effect sensor, Arduino UNO, Servo motor, blynk app, Wi-Fi-module. |