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1

Maze, T. H. Policy issues of an Iowa longer combination vehicle network. Midwest Transportation Center, Iowa State University, 1994.

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2

Semsar-Kazerooni, Elham, and Khashayar Khorasani. Team Cooperation in a Network of Multi-Vehicle Unmanned Systems. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-5073-3.

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3

National Research Council (U.S.). Transportation Research Board., ed. Vehicle routing, traveler ADIS, network modeling, and advanced control systems. National Academy Press, 1992.

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4

Ran, Bin. Dynamic urban transportation network models: Theory and implications for intelligent vehicle-highway systems. Springer-Verlag, 1994.

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5

Semsar-Kazerooni, Elham. Team Cooperation in a Network of Multi-Vehicle Unmanned Systems: Synthesis of Consensus Algorithms. Springer New York, 2013.

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6

Dailey, Daniel J. A self-describing data transfer methodology for ITS applications. Washington State Dept. of Transportation, 2000.

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7

Dailey, Daniel J. A self-describing data transfer methodology for ITS applications: Executive summary. Washington State Dept. of Transportation, 2000.

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8

Krogmeier, J. V. Wireless local area network for ITS communications using the 220 MHz ITS spectral allocation. Joint Highway Research Project, Purdue University, 2000.

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9

Eiichi, Taniguchi, ed. City logistics: Network modelling and intelligent transport systems. Pergamon, 2001.

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10

Zuev, Sergey, Ruslan Maleev, and Aleksandr Chernov. Energy efficiency of electrical equipment systems of autonomous objects. INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1740252.

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When considering the main trends in the development of modern autonomous objects (aircraft, combat vehicles, motor vehicles, floating vehicles, agricultural machines, etc.) in recent decades, two key areas can be identified. The first direction is associated with the improvement of traditional designs of autonomous objects (AO) with an internal combustion engine (ICE) or a gas turbine engine (GTD). The second direction is connected with the creation of new types of joint-stock companies, namely electric joint-stock companies( EAO), joint-stock companies with combined power plants (AOKEU).&#x0D
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11

McLaughlin, Richard T. In-vehicle communication networks. typescript, 1993.

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12

Engineers, Society of Automotive, and SAE World Congress (2005 : Detroit, Mich.), eds. In-vehicle networks and software. SAE International, 2005.

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13

Duo, Bin, Xiaojun Yuan, and Yifan Liu. Securing Unmanned Aerial Vehicle Networks. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-45605-3.

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14

Crisostomi, Emanuele, Robert Shorten, Sonja Stüdli, and Fabian Wirth. Electric and Plug-in Hybrid Vehicle Networks. CRC Press, 2017. http://dx.doi.org/10.1201/9781315151861.

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15

Garcia-Valle, Rodrigo, and João A. Peças Lopes, eds. Electric Vehicle Integration into Modern Power Networks. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-0134-6.

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16

Garcia-Valle, Rodrigo. Electric Vehicle Integration into Modern Power Networks. Springer New York, 2013.

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17

Wang, Yu-Long, Qing-Long Han, Chen Peng, and Lang Ma. Network-Based Control of Unmanned Marine Vehicles. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-28605-6.

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18

Basnet, C. Heuristics for vehicle routing over tree-like networks. Loughborough University Business School, 1996.

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19

Hu, Fei, and Iftikhar Rasheed. Deep Learning and Its Applications for Vehicle Networks. CRC Press, 2023. http://dx.doi.org/10.1201/9781003190691.

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20

Wang, C. C. A mobile satellite (MSAT-X) network definition. National Aeronautics and Space Administration, Jet Propulsion Laboratory, California Institute of Technology, 1990.

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21

Wang, C. C. A mobile satellite (MSAT-X) network definition. National Aeronautics and Space Administration, Jet Propulsion Laboratory, California Institute of Technology, 1990.

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22

Ouaissa, Mariya, Inam Ullah Khan, Mariyam Ouaissa, Zakaria Boulouard, and Syed Bilal Hussain Shah, eds. Computational Intelligence for Unmanned Aerial Vehicles Communication Networks. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-97113-7.

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23

Walter, Franz, Hartenstein Hannes, Mauve Martin, and FleetNet Project, eds. Inter-vehicle-communications based on ad hoc networking principles: The FleetNet Project. Universitätsverlag Karlsruhe, 2005.

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24

Commercial vehicle information systems network (CVISN): Statement of direction. Federal Highway Administration, U.S. Dept. of Transportation, 1995.

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25

Adwitya, Adwitya. Unmanned Ground Vehicle Using a GSM Network. Notion Press, 2020.

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26

Abou. Le bus VAN, vehicle area network: Fondements du protocole. Dunod, 1997.

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27

Oh, Jonghak. Communication/Security for Vehicular Environments of Autonomous Vehicles: In-Vehicle Security, in-vehicle Network, V2x Communication, Communication Security for Vehicular Environments. Independently Published, 2021.

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28

Nijkamp, Peter, and Richard Emmerink. Behavioural and Network Impacts of Driver Information Systems. Taylor & Francis Group, 2018.

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29

Walter, Eric, and Richard Walter. Data Acquisition from Light-Duty Vehicles Using OBD and CAN. SAE International, 2018. http://dx.doi.org/10.4271/r-458.

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Modern vehicles have multiple electronic control units (ECU) to control various subsystems such as the engine, brakes, steering, air conditioning, and infotainment. These ECUs are networked together to share information directly with each other. This in-vehicle network provides a data opportunity for improved maintenance, fleet management, warranty and legal issues, reliability, and accident reconstruction. Data Acquisition from Light-Duty Vehicles Using OBD and CAN is a guide for the reader on how to acquire and correctly interpret data from the in-vehicle network of light-duty (LD) vehicles.
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30

Jagtap, Kushal, and Keerti Rawal. Distributed Energy Resources and Electric Vehicle: Analysis and Optimisation of Network Operations. Taylor & Francis Group, 2024.

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31

Boyce, David, and Bin Ran. Dynamic Urban Transportation Network Models: Theory and Implications for Intelligent Vehicle-Highway Systems. Springer, 2012.

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32

Developing a Conceptual Unmanned Aerial Vehicle Communications Mobile AD Hoc Network Simulation Model. Storming Media, 2002.

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33

Berntorp, Karl. System and Method for Controlling Vehicle Using Neural Network: United States Patent 9989964. Independently Published, 2020.

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34

Semsar-Kazerooni, Elham, and Khashayar Khorasani. Team Cooperation in a Network of Multi-Vehicle Unmanned Systems: Synthesis of Consensus Algorithms. Springer, 2014.

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35

Semsar-Kazerooni, Elham, and Khashayar Khorasani. Team Cooperation in a Network of Multi-Vehicle Unmanned Systems: Synthesis of Consensus Algorithms. Springer, 2012.

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36

Behavioural and Network Impacts of Driver Information Systems. Taylor & Francis Group, 2018.

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37

Nijkamp, Peter, and Richard Emmerink. Behavioural and Network Impacts of Driver Information Systems. Taylor & Francis Group, 2018.

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38

Nijkamp, Peter, and Richard Emmerink. Behavioural and Network Impacts of Driver Information Systems. Taylor & Francis Group, 2020.

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39

Routemaster Bus Manual An Insight Into Maintaining And Operating The Iconic Vehicle Of The British Transport Network. Haynes Publishing, 2011.

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40

Morgan, Andrew. Routemaster Bus Manual - 1954 Onwards: An Insight into Maintaining and Operating the Iconic Vehicle of the British Transport Network. Haynes Publishing Group P.L.C., 2015.

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41

Xiang, Weidong. Vehicle Communications and Networks: Physical Layer Technology for Connected Vehicles. Springer, 2021.

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42

Xiang, Weidong. Vehicle Communications and Networks: Physical Layer Technology for Connected Vehicles. Springer, 2021.

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43

Leen, J. Gabriel. Automotive in-vehicle Networks. Wiley & Sons, Limited, John, 2008.

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44

In-Vehicle Networks 2002. Society of Automotive Engineers Inc, 2001.

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45

In-vehicle Networks 2001. Society of Automotive Engineers (SAE), 2001.

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46

In-vehicle networks, 2007. SAE International, 2007.

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47

Leen, J. Gabriel. Automotive in-Vehicle Networks. Wiley & Sons, Incorporated, John, 2023.

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48

Paret, Dominique, and Hassina Rebaine. Autonomous and Connected Vehicles: Network Architectures from Legacy Networks to Automotive Ethernet. Wiley & Sons, Limited, John, 2022.

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49

Paret, Dominique, and Hassina Rebaine. Autonomous and Connected Vehicles: Network Architectures from Legacy Networks to Automotive Ethernet. Wiley & Sons, Incorporated, John, 2022.

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50

Paret, Dominique, and Hassina Rebaine. Autonomous and Connected Vehicles: Network Architectures from Legacy Networks to Automotive Ethernet. Wiley & Sons, Incorporated, John, 2022.

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