Traffic Surveillance System
Keywords:
Traffic control,, traffic census, traffic statistics, traffic systemAbstract
Due to the large number of vehicles in circulation, studies of intelligent traffic systems have increased. Most of studies focus on the detection, tracking and counting of vehicles and on the estimation of traffic parameters. Two wheelers are the most important mode of transport in many countries. The main advantages of motorcycles are their low price and operation cost compared with other vehicles. But the number of accidents involving motorcycles has increased during the last decade and no proper database maintenance is provided. Thus, our paper provides a survey on various techniques into use for improving traffic conditions and for avoiding accidents. It suggests techniques for data collection using various implemented methods.
References
[1] G. Dimitrakopoulos and P. Demestichas, ‘‘Intelligent transportation systems,’’ IEEE Veh. Technol. Mag., vol. 5, no. 1, pp. 77–84, Mar. 2010.
[2] International Journal of Engineering Trends and Technology (IJETT) – Volume 35 Number 5- May 2016
[3] Reserve Bank of India, Government of India, Macro-economic aggregates (at constant prices) in India. Available from, http://www.indiastat.com.
[4] Liling Li, Sharad Shrestha, Gongzhu Hu, “Analysis of Road Traffic Fatal Accidents Using Data Mining Techniques,” in 2017 IEEE SERA 2017, June 7-9, 201
[5] WEI LIU 1,2, MIAOHUI ZHANG3, ZHIMING LUO4, AND YUANZHENG CAI5, “An Ensemble Deep Learning Method for Vehicle Type Classification on Visual Traffic Surveillance Sensors” VOLUME 5, 2017
[6] Maharsh Desai , Shubham Khandelwal , Lokneesh Singh , Prof. Shilpa Gite “Automatic Helmet Detection on Public Roads” International Journal of Engineering Trends and Technology (IJETT) – Volume 35 Number 5- May 2016.
[7] PENGFEI SHAO1, LEI WANG, “A Distributed Traffic Control Strategy Based on Cell-Transmission Model” version March 15, 2018.
[8] Joseph Redmon, Ali Farhadi, “YOLOV39000: Better, Faster, Stronger”25 dec 2016.
[9] Joseph Redmon, Santosh Divvala, Ross Girshick, Ali Farhadi, “You Only Look Once: Unified, Real-Time Object Detection,” University of Washington, Allen Institute for AI, Facebook AI Research May 2016
[10] S. Bell, C. L. Zitnick, K. Bala, and R. Girshick. Insideoutside net: Detecting objects in context with skip pooling and recurrent neural networks. arXiv preprint arXiv:1512.04143, 2015.
[11] J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. FeiFei. Imagenet: A large-scale hierarchical image database. In Computer Vision and Pattern Recognition, 2009. CVPR 2009. IEEE Conference on, pages 248–255. IEEE, 2009.
[12] M. Everingham, L. Van Gool, C. K. Williams, J. Winn, and A. Zisserman. The pascal visual object classes (voc) challenge. International journal of computer vision, 88(2):303– 338, 2010.
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