INTELLIGENT TRAFFIC CONTROL DEVICE MODEL USING AD HOC NETWORK
PDF

Keywords

Intelligent Traffic control
Adhoc networks
wireless sensor networks

How to Cite

INTELLIGENT TRAFFIC CONTROL DEVICE MODEL USING AD HOC NETWORK. (2019). Journal of Information Technology and Digital World, 1(2), 68-76. https://doi.org/10.36548/jitdw.2019.2.002

Abstract

The advancements in the technologies related to the wireless communication systems has made the vehicular adhoc networks prominent area of research in the automobile industry. The absolute volume of road traffic affects the safety, convenience and the efficiency of the traffic flow in the urban areas. So the paper scopes in developing an intelligent traffic control device model using the adhoc network to ameliorate the traffic flow. The proposed system enhances the convenience in travel by gathering the information of the vehicles along with the density of the vehicles and the movement of the vehicles on road. The device is modelled using the MATLAB and examined over the traffic flow on the peak hours as well as the normal hours and the holidays to understand its intelligent traffic control. The results obtained shows that the performance improvement in optimizing the traffic congestion through the proposed method is better compared to the existing methodologies used in traffic controlling.

PDF

References

Raj, Jennifer S., and A. Basar. "QoS optimization of energy efficient routing in IoT wireless sensor networks." Journal of ISMAC 1, no. 01 (2019): 12-23.

Smys, S. "ENERGY-AWARE SECURITY ROUTING PROTOCOL FOR WSN IN BIG-DATA APPLICATIONS." Journal of ISMAC 1, no. 01 (2019): 38-55.

Pandian, M. Durai. "ENHANCED NETWORK SELECTION AND HANDOVER SCHEMA FOR HETEROGENEOUS WIRELESS NETWORKS." Journal of ISMAC 1, no. 03 (2019): 160-171.

Smys, S., and Jennifer S. Raj. "A STOCHASTIC MOBILE DATA TRAFFIC MODEL FOR VEHICULAR AD HOC NETWORKS." Journal of Ubiquitous Computing and Communication Technologies (UCCT) 1, no. 01 (2019): 55-63.

Duraipandian, M. "PERFORMANCE EVALUATION OF ROUTING ALGORITHM FOR MANET BASED ON THE MACHINE LEARNING TECHNIQUES." Journal of trends in Computer Science and Smart technology (TCSST) 1, no. 01 (2019): 25-38.

Sathesh, A. "OPTIMIZED MULTI-OBJECTIVE ROUTING FOR WIRELESS COMMUNICATION WITH LOAD BALANCING." Journal of trends in Computer Science and Smart technology (TCSST) 1, no. 02 (2019): 106-120.

Manoharan, S. (2019). AN IMPROVED SAFETY ALGORITHM FOR ARTIFICIAL INTELLIGENCE ENABLED PROCESSORS IN SELF DRIVING CARS. Journal of Artificial Intelligence, 1(02), 95-104.

Haoxiang, Wang, and S. Smys. "QOS ENHANCED ROUTING PROTOCOLS FOR VEHICULAR NETWORK USING SOFT COMPUTING TECHNIQUE." Journal of Soft Computing Paradigm (JSCP) 1, no. 02 (2019): 91-102.

Koresh, Mr H. James Deva. "COMPUTER VISION BASED TRAFFIC SIGN SENSING FOR SMART TRANSPORT." Journal of Innovative Image Processing (JIIP) 1, no. 01 (2019): 11-19.

Jyothirmai, Pondi, Jennifer S. Raj, and S. Smys. "Secured self-organizing network architecture in wireless personal networks." Wireless Personal Communications 96, no. 4 (2017): 5603-5620

Anguraj, Dinesh Kumar, and S. Smys. "Trust-based intrusion detection and clustering approach for wireless body area networks." Wireless Personal Communications 104, no. 1 (2019): 1-20

Praveena, A., and S. Smys. "Anonymization in social networks: a survey on the issues of data privacy in social network sites." Journal of International Journal Of Engineering And Computer Science 5, no. 3 (2016): 15912-15918.

Smys, S., G. Josemin Bala, and S. Jennifer. "Mobility management in wireless networks using power aware routing." In 2010 International Conference on Intelligent and Advanced Systems, pp. 1-5. IEEE, 2010.

Anda, Joey, Jason LeBrun, Dipak Ghosal, Chen-Nee Chuah, and Michael Zhang. "VGrid: vehicular adhoc networking and computing grid for intelligent traffic control." In 2005 IEEE 61st Vehicular Technology Conference, vol. 5, pp. 2905-2909. IEEE, 2005.