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The Special Issue of Energies on the subject area of “Intelligent Transportation Systems (ITS) for Electric Vehicles (EV)”, covers new work on EV and associated topics like charging process, smart grids, emerging ITS for EV and applications for electromoV market penetration with an increase of 60% per year, associated challenges of the charging process and system and changes in the energy market and grid. EV is associated with sustainability and the EU has committed to reducing CO2 emissions by 37.5 percent by 2030. The charging process and open energy market with renewable energy create interesting research problems where IoT and intelligent systems play an essential role in the flexibility of the EV charging process and the EV operation.bility. Considering EV market penetration with an increase of 60% per year, associated challenges of charging process and system and the change on the Energy market and Grid. EV is associated with sustainability with the commit of EU in, aiming to reduce CO2 emissions by 37.5 percent from 2021 to 2030. Charging process and open energy market with renewable energy creates interesting research problems where IoT and Intelligent System plays an essential role in the flexibility of the EV charging process and the EV operation.

vehicle electrification --- smart grids --- renewable energy sources --- energy storage systems --- power quality --- bidirectional --- power electronics. --- charging behaviors --- distribution locational marginal pricing --- distribution networks --- electric mobility --- electric vehicle --- operation --- reconfiguration --- smart city --- smart grid --- rapid charging --- charging navigation --- internet of things --- electric charging behaviour --- energy prices --- EVs --- travel simulator --- charging station --- prediction --- probability --- mobile App --- EV charging process --- blockchain --- IoT --- mobile app --- particle filter --- histogram of gradient --- sensor fusion --- neural network --- support vector machine --- object recognition --- electric bus --- emissions --- urban transportation --- energy mix --- automatic train operation --- multi-objective optimization --- shark smell optimization algorithm --- composite angle cosine --- dual-population evolution mechanism --- hardware-in-the-loop simulation --- daily activity chains --- electric vehicles --- optimization --- charging stations --- intelligent transportation systems --- ITS --- Dispatching Service --- Dispersed Generation --- Distribution Grid --- Electrical Vehicle --- Optimal Power Flow --- Power Flow --- Power System --- Simulation Models --- shared swap charging system --- operational design --- battery charging rate --- binary integer programming --- silicon carbide --- extreme fast charging --- DC transformer --- V2G --- urban complex --- peak shaving --- Hybrid Electric Vehicles (HEVs) --- energy management strategies (EMSs) --- driving cycle prediction

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This book presents the results of the successful Sensors Special Issue on Intelligent Vehicles that received submissions between March 2019 and May 2020. The Guest Editors of this Special Issue are Dr. David Fernández-Llorca, Dr. Ignacio Parra-Alonso, Dr. Iván García-Daza and Dr. Noelia Parra-Alonso, all from the Computer Engineering Department at the University of Alcalá (Madrid, Spain). A total of 32 manuscripts were finally accepted between 2019 and 2020, presented by top researchers from all over the world. The reader will find a well-representative set of current research and developments related to sensors and sensing for intelligent vehicles. The topics of the published manuscripts can be grouped into seven main categories: (1) assistance systems and automatic vehicle operation, (2) vehicle positioning and localization, (3) fault diagnosis and fail-x systems, (4) perception and scene understanding, (5) smart regenerative braking systems for electric vehicles, (6) driver behavior modeling and (7) intelligent sensing. We, the Guest Editors, hope that the readers will find this book to contain interesting papers for their research, papers that they will enjoy reading as much as we have enjoyed organizing this Special Issue

tracking-by-detection --- multi-vehicle tracking --- Siamese network --- data association --- Markov decision process --- driving behavior --- real-time monitoring --- driver distraction --- mobile application --- portable system --- simulation test --- dynamic driving behavior --- traffic scene augmentation --- corridor model --- IMU --- vision --- classification networks --- Hough transform --- lane markings detection --- semantic segmentation --- transfer learning --- autonomous --- off-road driving --- tire-road forces estimation --- slip angle estimation --- gauge sensors --- fuzzy logic system --- load transfer estimation --- simulation results --- normalization --- lateral force empirical model --- driver monitor --- lane departure --- statistical process control --- fault detection --- sensor fault --- signal restoration --- intelligent vehicle --- autonomous vehicle --- kinematic model --- visual SLAM --- sparse direct method --- photometric calibration --- corner detection and filtering --- loop closure detection --- road friction coefficient --- tire model --- nonlinear observer --- self-aligning torque --- lateral displacement --- Lyapunov method --- automatic parking system (APS) --- end-to-end parking --- reinforcement learning --- parking slot tracking --- deceleration planning --- multi-layer perceptron --- smart regenerative braking --- electric vehicles --- vehicle speed prediction --- driver behavior modeling --- electric vehicle control --- driver characteristics online learning --- objects’ edge detection --- stixel histograms accumulate --- point cloud segmentation --- autonomous vehicles --- scene understanding --- occlusion reasoning --- road detection --- advanced driver assistance system --- trajectory prediction --- risk assessment --- collision warning --- connected vehicles --- vehicular communications --- vulnerable road users --- fail-operational systems --- fall-back strategy --- automated driving --- advanced driving assistance systems --- illumination --- shadow detection --- shadow edge --- image processing --- traffic light detection --- intelligent transportation system --- lane-changing --- merging maneuvers --- game theory --- decision-making --- intelligent vehicles --- model predictive controller --- automatic train operation --- softness factor --- fusion velocity --- online obtaining --- hardware-in-the-loop simulation --- driving assistant --- driving diagnosis --- accident risk maps --- driving safety --- intelligent driving --- virtual test environment --- millimeter wave radar --- lane-change decision --- risk perception --- mixed traffic --- minimum safe deceleration --- automated driving system (ADS) --- sensor fusion --- multi-lane detection --- particle filter --- self-driving car --- unscented Kalman filter --- vehicle model --- Monte Carlo localization --- millimeter-wave radar --- square-root cubature Kalman filter --- Sage-Husa algorithm --- target tracking --- stationary and moving object classification --- localization --- LiDAR --- GNSS --- Global Positioning System (GPS) --- monte carlo --- autonomous driving --- robot motion --- path planning --- piecewise linear approximation --- multiple-target path planning --- autonomous mobile robot --- homotopy based path planning --- LiDAR signal processing --- sensor and information fusion --- advanced driver assistance systems --- autonomous racing --- high-speed camera --- real-time systems --- LiDAR odometry --- fail-aware --- sensors --- sensing --- percepction --- object detection and tracking --- scene segmentation --- vehicle positioning --- fail-x systems --- driver behavior modelling --- automatic operation