| Title |
A Unique Distributed Risk Tolerant Path Planning Framework Towards Generation Of Virtual Path For Automated Vehicles In The Smart City Ecosystem |
| ID_Doc |
5729 |
| Authors |
Sasikala P.; Malathy S.; Esakki Rajavel S.; Sivaprakasam T.; Emayavaramban G.; Abirami N. |
| Year |
2023 |
| Published |
1st International Conference on Emerging Research in Computational Science, ICERCS 2023 - Proceedings |
| DOI |
http://dx.doi.org/10.1109/ICERCS57948.2023.10434207 |
| Abstract |
Automated and Autonomous vehicle has attracted considered interest in recent decade by leveraging the current telecommunication networks in order to reduce the traffic in both air and road network and to reduce the cost of fuel cost communication and reduce emissions and finally mitigates the parking related issues in the smart cities. However current telecommunication networks suffer from simultaneously handling the heterogeneous vehicle data traffic and network component failure due to natural disaster. In order to manage those challenges, a new distributed failure tolerant path planning framework has been modelled to generate the virtual path for automated vehicles like drone and grounded vehicles. Due to advent of artificial intelligence and deep learning technologies in the software defined networks, efficient management of the automated vehicle is feasible using existing telecommunication network like 3G/4G and LTE networks. Proposed model integrates architecture with the Amazon or IBM webserver to gather and manage the network data and its communications. Web Server has been deployed with developed virtual path planning algorithm to control the autonomous vehicles on extracting the various information from the sensor component in the ecosystem using telecommunication network. Base station also categories and schedules the data efficiently to reduce the computation time and cost. Especially each node which considered as sensor or transceiver is capable of the operating in fixed speed for specific data size and it is configured in transformers in electric grids, street lights, and overhead electric lines in railways and medians in the road. In order to increase the limit, data compression and signal amplification is enabled through amplifier connected with sensor or transceiver component. Further optical fibre channel is employed for data communication between transceiver and base station in the web server whereas two transceivers can be connected in wireless manner to reduce the dependence of the optical fibre. Controlled signal is transferred to transceiver built-in in the autonomous devices through trajectory of the intermediate transceivers. Control signal carries the information of the virtual path plan as route map containing the route number of the optical fiber channel and specific identification number of transceiver representing start and end point destinations for movement. Finally, transceiver communicates the information like speed limit, signal indication like one ways and closed roads etc. Experimental analysis of the proposed model is evaluated on various aspects. In that proposed architecture capable of controlling various devices in high heterogeneous traffics without loss of control signal. Proposed framework can be transformed to concept of intelligent transportation system for eco-friendly smart cities. © 2023 IEEE. |
| Author Keywords |
Autonomous Vehicles; Data Communication; Intelligent Transportation system; Path Planning Approach; Signal Controlling; Signal transmission; Smart Cities; Virtual Path |
