04277nam 2200925z- 450 991055713470332120210501(CKB)5400000000040706(oapen)https://directory.doabooks.org/handle/20.500.12854/68570(oapen)doab68570(EXLCZ)99540000000004070620202105d2021 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierInternet of Things and Artificial Intelligence in Transportation RevolutionBasel, SwitzerlandMDPI - Multidisciplinary Digital Publishing Institute20211 online 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 and technologybicsscartificial neural networksat-risk drivingauthenticationautomatic license plate recognitionautonomous navigationautonomous path planningcollision avoidanceconnected vehicleconvolutional neural networkscrowdsourcingdata fusionDDPGdecision-makingdeep learningdeep reinforcement learningdeep support vector machinedriver drowsinessdriver stressend-to-endhistogram of oriented gradientshybrid dynamic systemindoor localizationInertial Measurement Unit (IMU)Inertial Measurement Unitsintelligent transportation systemsintelligent vehicle accessinternet of thingsmaritime autonomous surface shipsmaritime vessel flowsmulti-objective genetic algorithmmultiple kernel learningn/aroad anomaliesroad transportationscene divisionsecurityspeed guidancestate transitiontime-frequencytraffic signal controlunknown inputs observerunmanned shipsurban freewayvehicle arrival timevehicle densityHistory of engineering and technologyLytras Miltiadisedt1149833Chui Kwok TaiedtLiu Ryan WenedtLytras MiltiadisothChui Kwok TaiothLiu Ryan WenothBOOK9910557134703321Internet of Things and Artificial Intelligence in Transportation Revolution3037427UNINA