Felipe Jiménez obtained his Master Degree in Industrial Engineering (Mechanics) from the Technical University of Madrid (UPM), his Master Degree in Automotive Engineering from the UPM, his Master Degree in Physical Science (Electronics and Automation) from the National University of Distance Education of Spain and his PhD in Mechanical Engineering from the UPM in 2001, 2002, 2005 and 2006, respectively. Currently, he is Full Professor at the UPM and Research Deputy Director and Head of the Intelligent Systems Unit of the University Institute for Automobile Research of the UPM. His fields of interest are the automotive industry, vehicle safety, mechanical design, driver assistance systems and intelligent transport systems, mainly connected and automated driving. He has been involved in more than 40 R&D projects in the last 10 years and has developed engineering studies for relevant national firms. Furthermore, he is the leader of the Spanish Thematic Network on Intelligent Vehicles.

• 1. IntroductionPart A: Enabling technologies2. Environmental Perception for Intelligent Vehicles3. Vehicular communications4. Positioning and digital maps5. Big data in road transportation and mobility researchPart B: Application6. Assistance and safety systems7. Cooperative systems8. Autonomous drivingPart C: Additional aspects9. Human factor10. Simulation tools11. Social and economic impacts of intelligent vehicles12. Future perspectives and work areas

Felipe Jiménez obtained his Master Degree in Industrial Engineering (Mechanics) from the Technical University of Madrid (UPM), his Master Degree in Automotive Engineering from the UPM, his Master Degree in Physical Science (Electronics and Automation) from the National University of Distance Education of Spain and his PhD in Mechanical Engineering from the UPM in 2001, 2002, 2005 and 2006, respectively. Currently, he is Full Professor at the UPM and Research Deputy Director and Head of the Intelligent Systems Unit of the University Institute for Automobile Research of the UPM. His fields of interest are the automotive industry, vehicle safety, mechanical design, driver assistance systems and intelligent transport systems, mainly connected and automated driving. He has been involved in more than 40 R&D projects in the last 10 years and has developed engineering studies for relevant national firms. Furthermore, he is the leader of the Spanish Thematic Network on Intelligent Vehicles.

• 1. IntroductionPart A: Enabling technologies2. Environmental Perception for Intelligent Vehicles3. Vehicular communications4. Positioning and digital maps5. Big data in road transportation and mobility researchPart B: Application6. Assistance and safety systems7. Cooperative systems8. Autonomous drivingPart C: Additional aspects9. Human factor10. Simulation tools11. Social and economic impacts of intelligent vehicles12. Future perspectives and work areas

Felipe Jiménez obtained his Master Degree in Industrial Engineering (Mechanics) from the Technical University of Madrid (UPM), his Master Degree in Automotive Engineering from the UPM, his Master Degree in Physical Science (Electronics and Automation) from the National University of Distance Education of Spain and his PhD in Mechanical Engineering from the UPM in 2001, 2002, 2005 and 2006, respectively. Currently, he is Full Professor at the UPM and Research Deputy Director and Head of the Intelligent Systems Unit of the University Institute for Automobile Research of the UPM. His fields of interest are the automotive industry, vehicle safety, mechanical design, driver assistance systems and intelligent transport systems, mainly connected and automated driving. He has been involved in more than 40 R&D projects in the last 10 years and has developed engineering studies for relevant national firms. Furthermore, he is the leader of the Spanish Thematic Network on Intelligent Vehicles.

• 1. IntroductionPart A: Enabling technologies2. Environmental Perception for Intelligent Vehicles3. Vehicular communications4. Positioning and digital maps5. Big data in road transportation and mobility researchPart B: Application6. Assistance and safety systems7. Cooperative systems8. Autonomous drivingPart C: Additional aspects9. Human factor10. Simulation tools11. Social and economic impacts of intelligent vehicles12. Future perspectives and work areas