The vehicular movement is very versatile in nature and produces a lot many movement patterns on the roads followed by the individual vehicle or group of vehicles. The vehicular networks are constructed in order to collect and share the information to and from the vehicles across the given area. The urban traffic management is the major source of the congested traffic pathways. Hence, the urban traffic requires the better management to avoid the traffic jams or snarls across the city highways. In this paper, we have proposed the method to detect and prevent the collision in the urban traffic by utilizing the distance based hurdle evaluation modules. The proposed model is equipped with several factors for the collision detection along with several movement pattern combinations. The proposed model is based upon the multiple active distance factors for the position evaluation of the other vehicular nodes or obstacles in the VANET cluster. The experimental results have been obtained in the form of various performance factors. The robust performance has been recorded for the proposed model in the form of End-to-End transmission delay, packet loss, number of hello messages on RSU and vehicles.

1. Farkho Alisherov "The Security in the Vehicular Ad Hoc Network (VANET) Using Expedite Message Authentication Protocol (EMAP)"Asia-pacific Journal of Multimedia Services Convergence with Art, Humanities and Sociology,Vol. 1, No. 2, pp. 101-108,2011.
2. Ravinder Singh et al. "Vehicular Ad-hoc Network: A Review" Int. Journal for Advance Research In engineering and Technology, ISSN 2320-6802, Vol. 2, Issue 7 July- 2014
3. Mohammad Abdur Razzaque et al. "Mobility Pattern Based Misbehavior Detection to Avoid Collision in Vehicular Adhoc Networks" Springer International Publishing Switzerland, pp. 300–303, 2014.
4. Linjuan Zhanga et al. "A multilevel information fusion approach for road congestion detection in VANETs" Mathematical and Computer Modelling, pp 1206-1221, 2013.
5. Ghaleb et al. "Security and privacy enhancement in Vanet's using mobility pattern. " IEEE, ISSN: 2165-8528, pp. 184 – 189,2013.
6. Prasad et al. "Cross layer optimization of VANET routing with Multi-objective decision making. " Telecommunication Networks and Applications Conference (ATNAC) IEEE, pp. 1-6. , 2012.
7. João A. Dias et al. "Testbed-based Performance Evaluation of Routing Protocols for Vehicular Delay-Tolerant Networks" IEEEE, 2011.
8. J. Deeksha et al. "Hardware Implementation of Collision Avoidance in inter-Vehicular Adhoc Network Using Zigbee and Stellaris ARM Cortex-M4"Int. Journal of engineering and application, ISSN : 2248-9622, Vol. 3, Issue 5, pp. 1564-1568, Sep-Oct 2013.
9. Muhammad A. Javed et al. "An Efficient Data Dissemination Scheme for Warning Messages in Vehicular Ad Hoc Networks" IGI Global, 2013.
10. Namrata Singh et al. "Avoiding Prankster Attack in Case of Selfish DriverUsing the Location Aware FixedNodes - A Review" International Journal of Engineering Trends and Technology (IJETT),Vol. 12, Number 7, Jun 2014.
11. Namarata Singh et al. "Roadside Traffic Management Unit to Mitigate Prankster Attack in VANET Cluster" International Journal of Science and Research (IJSR), ISSN: 2319-7064,Vol. 3, Issue 9, September 2014.
12. Chia-Chen Hung et al. "Mobility Pattern Aware Routing for Heterogeneous Vehicular Network" IEEE, 2008.
13. Needhi Lathar et al. "Intelligent Hazard Routing for VANETs With Point of Interest Evolution Technique" International Journal of Computer Science and Mobile Computing, Vol. 4, Issue. 7, pg. 116 – 121, July 2015.
14. PriyankaSoni et al. "A Review of Impact of Sybil Attack in VANET's" International Journal of Advanced Research in Computer Science and Software Engineering, Vol. 5, Issue 5, May 2015.
15. Kavita Sharma et al. "Energy Efficient Power Aware Multipath Dynamic Source Routing–A Survey" International Journal of Advanced Research in Computer Science and Software Engineering, Volume 3, Issue 5, May 2013.
16. Ajay Dahiya et al. "TCP Analysis under Various Mobile Adhoc Networks" IJMIE, Vol. 2, Issue 3, March 2012.
17. Pratibha R et al. "Intelligent Traffic System for VANET-Enabled Vehicle Platoon" IJEDR, ISSN: 2321-9939, Vol. 3, Issue 2, 2015.
18. Marcelo G. Rubinstein et al. "A Survey on Wireless Ad Hoc Networks" Springer US, 2006.
19. Nancy Rai et al. "VANET Routing with Cognitive Radio Network over High Density Road" International Journal of Advanced Research in Computer Science and Software Engineering, Volume 5, Issue 9, September 2015.
20. Sherali Zeasally et al. "Vehicular ad hoc networks (VANETS): status, results and challenges" Springer,2010.
21. Manjunath P S et al. "A Review on Security and Challenges for Vehicular Ad Hoc Networks" International Journal of Emerging Technology and Advanced Engineering, Vol. 4, Issue 5, May 2014.
22. Deepti et al. "REVIEW PAPER ON SECURE VEHICULAR COMMUNICATION International Journal of Scientific Research Engineering & Technology (IJSRET), ISSN 2278 – 0882, Vol. 4, Issue 5, May 2015.
23. Tashakkori Hashemi et al. "Load balanced vanet routing in city environments. "Vehicular Technology Conference (VTC Spring) IEEE,pp. 1-6. , 2012.
24. Ghassan Samara et al. "Security Analysis of Vehicular Ad Hoc Networks (VANET). " Network Applications Protocols and Services (NETAPPS) IEEE, pp. 55-60. , 2010.
25. Yi Qian et al. "Performance evaluation of a secure MAC protocol for vehicular networks. " Military Communications Conference IEEE, pp. 1-6, 2008.
26. Harjinderjeet Singh et al. "Collision Avoidance Mechanism Using Multi-Layered Collision Detection Model For Vehicular Network" IJCST, Volume 3, Issue 4, Jul-Aug 2015.

Collision Detection Collision Avoidance Multiple Active Distances Euclidean Distance