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Title |
E-Share: Autonomous Share Public Transit using IoT-enabled AI Technologies |
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Author |
Qaisar Abbas |
| Citation |
Vol. 22 No. 6 pp. 716-726 |
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Abstract |
Autonomous Vehicles in transportation sector is unstoppable. However, the transition from conventional vehicles to Autonomous Vehicles will not happen from one day to the other, instead, it will be a process of several years in which, gradually, new autonomous/automated functionalities will be equipped to the vehicles and introduced to the customers. These automated/autonomous functionalities are, nowadays, known as ADAS (Advanced Driver Assistance Systems). In this paper, through the combination of different ADAS functions, make the vehicle navigate on a highway autonomously, but at the same time, following the traffic rules and regulations requirements, and guaranteeing the safety on the road. To accomplish this objective, the proposed approach is to implement the Policy Gradient Reinforcement Learning method to select the proper function at each moment. The algorithm is tested using a five-lane highway CARLA simulator. E-share aspire to develop vehicles that rely on IoT-enabled artificial intelligence (AI) technologies to deal with self-driving vehicles and their importance to humans and provide the best solutions with easy effort and reduce the financial cost through the development of sensors. And linking them with self-driving vehicles to facilitate transportation. The simulation platform also supports all the sensors needed in smart cities and has full control in all static and dynamic directions in creating maps method for controlling a vehicle upon a roadway includes monitoring a trajectory of a host vehicle based upon a global positioning device within the host vehicle, monitoring a first wireless communication between the host vehicle and a plurality of target vehicles, the first wireless communication including a respective trajectory of each of the target vehicles based upon a respective global positioning device within reach of the target vehicles. |
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Keywords |
Advanced Driver Assistance Systems, Autonomous Vehicles, CARLA Simulator, Internet of things, Artificial Intelligence. |
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