04236nam 2200901z- 450 991055713470332120231214132854.0(CKB)5400000000040706(oapen)https://directory.doabooks.org/handle/20.500.12854/68570(EXLCZ)99540000000004070620202105d2021 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierInternet of Things and Artificial Intelligence in Transportation RevolutionBasel, SwitzerlandMDPI - Multidisciplinary Digital Publishing Institute20211 electronic resource (232 p.)3-0365-0310-2 3-0365-0311-0 The advent of Internet of Things offers a scalable and seamless connection of physical objects, including human beings and devices. This, along with artificial intelligence, has moved transportation towards becoming intelligent transportation. This book is a collection of eleven articles that have served as examples of the success of internet of things and artificial intelligence deployment in transportation research. Topics include collision avoidance for surface ships, indoor localization, vehicle authentication, traffic signal control, path-planning of unmanned ships, driver drowsiness and stress detection, vehicle density estimation, maritime vessel flow forecast, and vehicle license plate recognition. High-performance computing services have become more affordable in recent years, which triggered the adoption of deep-learning-based approaches to increase the performance standards of artificial intelligence models. Nevertheless, it has been pointed out by various researchers that traditional shallow-learning-based approaches usually have an advantage in applications with small datasets. The book can provide information to government officials, researchers, and practitioners. In each article, the authors have summarized the limitations of existing works and offered valuable information on future research directions.History of engineering & technologybicsscdecision-makingautonomous navigationcollision avoidancescene divisiondeep reinforcement learningmaritime autonomous surface shipsinternet of thingscrowdsourcingindoor localizationdata fusionsecurityauthenticationInertial Measurement Unitsroad transportationtraffic signal controlspeed guidancevehicle arrival timeconnected vehicleunmanned shipsDDPGautonomous path planningend-to-endat-risk drivingdeep support vector machinedriver drowsinessdriver stressmulti-objective genetic algorithmmultiple kernel learningurban freewayhybrid dynamic systemstate transitionunknown inputs observervehicle densitymaritime vessel flowsintelligent transportation systemsdeep learningautomatic license plate recognitionintelligent vehicle accesshistogram of oriented gradientsartificial neural networksconvolutional neural networkstime-frequencyInertial Measurement Unit (IMU)road anomaliesHistory of engineering & technologyLytras Miltiadisedt1149833Chui Kwok TaiedtLiu Ryan WenedtLytras MiltiadisothChui Kwok TaiothLiu Ryan WenothBOOK9910557134703321Internet of Things and Artificial Intelligence in Transportation Revolution3037427UNINA