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ZTE Communications ›› 2014, Vol. 12 ›› Issue (1): 40-45.DOI: 10.3969/j.issn.1673-5188.2014.01.006

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Anatomy of Connected Cars

Mario Gerla1, Giovanni Pau1,2, and Rita Tse1,3   

  1. 1. UCLA-MPI Joint Research Laboratory in Ubiquitous Computing, University of California, Los Angeles, California, USA;
    2. Universite' Pierre and Marie Curie-LIP6, Paris, France;
    3. Computing/Computer Studies Program, Macao Polytechnic Institute, Macao, China
  • 收稿日期:2014-02-25 出版日期:2014-03-25 发布日期:2014-03-25
  • 作者简介:Mario Gerla (gerla@cs.ucla.edu) obtained his undergraduate engineering degree from Politecnico di Milano, Italy. He received his PhD degree from UCLA. In 2002, he became a fellow of the IEEE. As a graduate student at UCLA, he was part of the team that worked on the early ARPA Network system and protocols under the guidance of Professor Leonard Kleinrock. After four years at Network Analysis Corporation, New York, he joined UCLA in 1976. At UCLA he designed network protocols, including ad hoc wireless clustering, multicast (ODMRP and CODECast) and Internet transport (TCP Westwood). He has lead the ONR Mimuteman project, designing the next-generation scalable airborne Internet for tactical and homeland defense scenarios. He is now leading several advanced wireless network projects funded by industry and government. His team is developing a vehicular testbed for safe navigation, content distribution, urban sensing and intelligent transport. Parallel research activities are wireless medical monitoring using smart phones and cognitive radios in urban environments. He has served on several conference program committees, including MobiCom, MobiHoc, MedHocNet and WONS. He is on the IEEE TON scientific advisory board.
    Giovanni Pau (giovanni.pau@lip6.fr) is the ATOS/Renault smart mobility chair professor at the University Pierre at Marie Curie, Paris. He received the Italian Laura in computer science in 1998. He received his PhD degree in computer engineering from the University of Bologna in 2002. Before Joining UPMC, Dr. Pau was a senior research scientist at the UCLA Computer Science Department, where he is currently an adjunct professor. Dr. Pau’s core research interests include network systems with a focus on vehicular networks and pervasive mobile sensor systems. He designed and built the UCLA campus vehicular testbed and the UCLA/MPI urban sensing testbed designed to enable hands - on studies on vehicular communications and urban sensing. His research contributions lead to the VERGILIUS and CORNER simulation suites designed to support mobility and propagation modeling in urban environments. More recently, Dr. Pau designed and developed VNDN the Named Data Network (NDN) protocol stack specifically adapted to work on mobile-to-mobile scenarios.
    Rita Tse (ritatse@ipm.edu.mo) is the program coordinator in the Computing Program at the Macao Polytechnic Institute. Her primary research interests are on ubiquitous computing and urban sensing. She published several papers in esteemed international journals and conferences. She is currently serving as local manager for the UCLA-MPI Joint Research Laboratory in Ubiquitous Computing.
  • 基金资助:
    ATOS and RENAULT through the UPMC Chair on Smart Mobility, the MPI Research Fund, and the National Science Foundation through the GREENCITY project support this work.

Anatomy of Connected Cars

Mario Gerla1, Giovanni Pau1,2, and Rita Tse1,3   

  1. 1. UCLA-MPI Joint Research Laboratory in Ubiquitous Computing, University of California, Los Angeles, California, USA;
    2. Universite' Pierre and Marie Curie-LIP6, Paris, France;
    3. Computing/Computer Studies Program, Macao Polytechnic Institute, Macao, China
  • Received:2014-02-25 Online:2014-03-25 Published:2014-03-25
  • About author:Mario Gerla (gerla@cs.ucla.edu) obtained his undergraduate engineering degree from Politecnico di Milano, Italy. He received his PhD degree from UCLA. In 2002, he became a fellow of the IEEE. As a graduate student at UCLA, he was part of the team that worked on the early ARPA Network system and protocols under the guidance of Professor Leonard Kleinrock. After four years at Network Analysis Corporation, New York, he joined UCLA in 1976. At UCLA he designed network protocols, including ad hoc wireless clustering, multicast (ODMRP and CODECast) and Internet transport (TCP Westwood). He has lead the ONR Mimuteman project, designing the next-generation scalable airborne Internet for tactical and homeland defense scenarios. He is now leading several advanced wireless network projects funded by industry and government. His team is developing a vehicular testbed for safe navigation, content distribution, urban sensing and intelligent transport. Parallel research activities are wireless medical monitoring using smart phones and cognitive radios in urban environments. He has served on several conference program committees, including MobiCom, MobiHoc, MedHocNet and WONS. He is on the IEEE TON scientific advisory board.
    Giovanni Pau (giovanni.pau@lip6.fr) is the ATOS/Renault smart mobility chair professor at the University Pierre at Marie Curie, Paris. He received the Italian Laura in computer science in 1998. He received his PhD degree in computer engineering from the University of Bologna in 2002. Before Joining UPMC, Dr. Pau was a senior research scientist at the UCLA Computer Science Department, where he is currently an adjunct professor. Dr. Pau’s core research interests include network systems with a focus on vehicular networks and pervasive mobile sensor systems. He designed and built the UCLA campus vehicular testbed and the UCLA/MPI urban sensing testbed designed to enable hands - on studies on vehicular communications and urban sensing. His research contributions lead to the VERGILIUS and CORNER simulation suites designed to support mobility and propagation modeling in urban environments. More recently, Dr. Pau designed and developed VNDN the Named Data Network (NDN) protocol stack specifically adapted to work on mobile-to-mobile scenarios.
    Rita Tse (ritatse@ipm.edu.mo) is the program coordinator in the Computing Program at the Macao Polytechnic Institute. Her primary research interests are on ubiquitous computing and urban sensing. She published several papers in esteemed international journals and conferences. She is currently serving as local manager for the UCLA-MPI Joint Research Laboratory in Ubiquitous Computing.
  • Supported by:
    ATOS and RENAULT through the UPMC Chair on Smart Mobility, the MPI Research Fund, and the National Science Foundation through the GREENCITY project support this work.

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摘要： The National Highway Traffic Safety Administration in the US and the European Commission are drafting a regulatory framework that will make the goal of connected vehicles possible by 2020. Control, embedded systems, and communication technologies have developed over the past 10 plus years and are approaching maturity. These will spark a revolution in how we approach driving. Cars will no longer need human drivers; they will be connected and exchange information about navigation, road hazards, traffic conditions, and safety. Travelers will be connected more than ever. Today’s car will become tomorrow’s office and the act of driving will become a leisure activity rather than a necessity. The emerging Internet of Vehicle enables application scenarios unimaginable just few years ago. The main challenges are Internet access spectrum scarcity, mobility, intermittent connectivity and scalability. In this article, we discuss the evolution from intelligent vehicle grid to autonomous, internet-connected vehicles and vehicular cloud.

关键词: connected vehicles, Internet of Vehicles, name data networking

Abstract: The National Highway Traffic Safety Administration in the US and the European Commission are drafting a regulatory framework that will make the goal of connected vehicles possible by 2020. Control, embedded systems, and communication technologies have developed over the past 10 plus years and are approaching maturity. These will spark a revolution in how we approach driving. Cars will no longer need human drivers; they will be connected and exchange information about navigation, road hazards, traffic conditions, and safety. Travelers will be connected more than ever. Today’s car will become tomorrow’s office and the act of driving will become a leisure activity rather than a necessity. The emerging Internet of Vehicle enables application scenarios unimaginable just few years ago. The main challenges are Internet access spectrum scarcity, mobility, intermittent connectivity and scalability. In this article, we discuss the evolution from intelligent vehicle grid to autonomous, internet-connected vehicles and vehicular cloud.

Key words: connected vehicles, Internet of Vehicles, name data networking