Future Autonomous Transportation: Challenges and Prospective Dimensions

Abstract

AbstractTransportation is an integral and fundamental part of human beings’ lives. On Earth, we need transportation in the form of cars, buses, trains, etc. We need aircraft in the air and ships at sea for long-distance transportation. We need space shuttles in space to travel beyond the air. The main desire of human beings is to complete tasks with less energy, effort, time, and more security. The whole paradigm of humanity’s lifestyle can be shifted by autonomous transport (AT), which is already deployed in different technologically advanced countries. The Autonomous Transport System (ATS) is more secure and reliable than the current system of conventional transportation. With the aid of machine learning (ML), artificial intelligence (AI), and blockchain technologies, ultra-fast processing computers can make autonomous vehicles smarter, safer, and more secure than ever before. Connecting vehicles can communicate with the infrastructure to alert the driver about events such as when a train is coming, when a driver cannot see or hear the approaching train, etc. ATS can have a tremendous effect on all we do. However, there are certain challenges involved with every technology, and once we overcome these problems, these ATS can make life simpler, smarter, and safer. Furthermore, we discuss the challenges and future directions for the ATS.KeywordsAutonomous vehiclesMachine learningArtificial intelligenceConnecting dronesBlockchainSecuritySafetyCloudTransportation systemsVehicle-to-vehicle communicationsUnmanned aerial vehiclesFlying carsMobilityAutonomous submarinesIntelligent transportation systemEdge/fog computing