Indian roads carry almost 90 per cent of the country’s passenger traffic and around 65 per cent of its freight. In India sales of automobiles and movement of freight by roads is growing at a rapid rate along with the increasing rate of traffic. Geo-spatial temporal data with geographical information explodes as the development of GPS-devices using mobiles. To dig out the video patterns behind the video data efficiently in huge spatial temporal data, using an OPTICS algorithm on gpsdata from the traffic video footage introduced. Through above cluster types provides number of cluster groups with identifying the video information from the existing archives video footages. This work deals with the clustering of the video data from the large geospatial temporal traffic videos using TRAFFICOPTICS algorithm organizing archives through information. In-order to identify the vehicles from the video footages in large traffic network that to identify the congestion through the spatiotemporal data mining method.

GPS, GEO, OPTICS, SPATIAL, GEO-SPATIAL, spatiotemporal, clustering

[1]. K.P. Agrawal, Sanjay Garg, Shashikant Sharma, and Pinkal Patel, “Development and validation of OPTICS based spatio-temporal clustering technique”, Inf. Sci. 369, C (November 2016), pp.388-401, 2016.
[2]. Mihael Ankerst, Markus M. Breunig, Hans-Peter Kriegel, Jörg Sander , OPTICS: Ordering Points To Identify the Clustering Proc. ACM SIGMOD’99 Int. Conf. on Management of Data, Philadelphia PA, pp.1-12, 1999.
[3]. Derya Birant, Alp Kut, “ST-DBSCAN: An algorithm for clustering spatial–temporal data”, Data & Knowledge Engineering 60, pp. 208–221, 2007.
[4]. Latika Sharma, Nitu Mehta,” Data Mining Techniques: A Tool For Knowledge Management System In Agriculture”, International Journal of Scientific & Technology Research, VOLUME 1, ISSUE 5, JUNE 2012.
[5]. Manjula Aakunuri, Dr.G.Narasimha, Sudhakar Katherapaka,”Spatial Data Mining: A Recent Survey and New Discussions”, International Journal of Computer Science and Information Technologies (IJCSIT), Vol. 2 (4), 1501-1504, ISSN: 0975-9646, 2011.
[6]. Shashi Shekhar, Zhe Jiang, Reem Y. Ali, Emre Eftelioglu, Xun Tang, Venkata M. V. Gunturi and Xun Zhou , “Spatiotemporal Data Mining: A Computational Perspective”, ISPRS International Journal of Geo-Information 2015, 4, 2306-2338, 2015.
[7]. Tanvi Jindal, Prasanna Giridhar, Lu-An Tang, Jun Li, Jiawei Han, “Spatiotemporal Periodical Pattern Mining in Traffic Data”, UrbComp’13, Chicago, Illinois, USA, August 11–14, 2013.
[8]. Khamphao Sisaat, Hiroshi Ishii, Masato Terada, Chaxiong Yukonhiatou, Hiroaki Kikuchi, Surin Kittitornkun , “A Spatio-Temporal malware and country clustering algorithm: 2012 IIJ MITF case study”, International Journal of Information Security, Volume 16 Issue 5, Pages 459-473, October 2017.
[9]. Liu, C., Gong, Y., Laflamme, S., Phares, B., & Sarkar, S., “Bridge damage detection using spatiotemporal patterns extracted from dense sensor network”, Measurement Science and Technology, 28(1), 014011, 2017.
[10]. Wu, L., Liu, C., Huang, T., Sharma, A., & Sarkar, S., “Traffic sensor health monitoring using spatiotemporal graphical modelling” Proceedings of the 2nd ACM SIGKDD Workshop on Machine Learning for
Prognostics and Health Management, August 13-17, Halifax, Nova Scotia, Canada, 2017.
[11]. Jiang, Z., Liu, C., Akintayo, A., Henze, G., & Sarkar, S.,” Energy prediction using spatiotemporal pattern networks” Applied Energy, 206, 1022-1039, 2017.
[12]. Xiaojing Wu, Raul Zurita-Millab, Menno-Jan Kraakb, Emma Izquierdo-Verdiguier, “CLUSTERING-BASED APPROACHES TO THE EXPLORATION OF SPATIO-TEMPORAL DATA”, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLII-2/W7, 2017
ISPRS Geospatial Week 2017, 18–22 September 2017, Wuhan, China, 1387-1391.
[13]. D.Gokula priya, Dr.C.Saravanabhavan, K.Suvitha "Detecting Congestion Patterns in Spatio Temporal Traffic Data using Frequent Pattern Mining", SSRG International Journal of Computer Science and Engineering (SSRG - IJCSE), V4 (10), ISSN: 2348 – 8387, 11-14 October 2017.
[14]. Nada Lavra, Domen Jesenovec, Nejc Trdin, and Neža Mramor Kosta,“Mining Spatio-temporal Data of TrafficAccidents and Spatial Pattern Visualization “, Metodološki zvezki, Vol. 5, No. 1, pp. 45-63, 2008.
[15]. Pawan S. Wasnik, S.D.Khamitkar, Parag Bhalchandra, S. N. Lokhande, Ajit S. Adte, “An Observation of Different Algorithmic Technique of Association Rule and Clustering”, International Journal of Scientific Research in Computer Science and Engineering, Vol.06, Issue.01, pp.28-30, 2018.
[16]. S. Kshirsagar, M. Jadhav, C. Bhagwat, “Real Time Road Inspection System with Distance Intimation Technique”, International Journal of Scientific Research in Network Security and Communication, Vol.5, Issue.1, pp.16-19, 2017.