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Advances in Smart Vehicular Technology, Transportation, Communication and Applications

Proceedings of the First International Conference on Smart Vehicular Technology, Transportation, Communication and Applications, November 6-8, 2017, Kaohsiung, Taiwan

  • Conference proceedings
  • © 2018

Overview

Editors:
  1. Jeng-Shyang Pan

    1. Fujian University of Technology, Fuzhou, China

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  2. Tsu-Yang Wu

    1. Fujian University of Technology, Fuzhou, China

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  3. Yong Zhao

    1. Superconductivity R&D Center, Southwest Jiaotong University, Chengdu, China

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  4. Lakhmi C. Jain

    1. University of Canberra, Canberra, Australia

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  • Presents recent original research on vehicular electronics and intelligent transportation; positioning, navigation, and satellite networks; smart vehicular communication networks and telematics; wireless access technology and heterogeneous networks; and vehicular networking security
  • Contains Proceedings of the First International Conference on Smart Vehicular Technology, Transportation, Communication and Applications (VTCA 2017) held on November 6–8, 2017, in Kaohsiung, Taiwan
  • Offers a valuable resource for engineers, researchers, and practitioners studying the advances and applications in the field of vehicle technology and communication
  • Includes supplementary material: sn.pub/extras

Part of the book series: Smart Innovation, Systems and Technologies (SIST, volume 86)

Included in the following conference series:

Conference proceedings info: VTCA 2017.

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Table of contents (47 papers)

  1. Front Matter

    Pages i-xv
    Download chapter PDF

  2. Smart Vehicular Technology

    1. Front Matter

      Pages 1-1
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    2. Easy i-Move: Structured Image Recognition Solution for Automatic Guided Vehicles

      • Yen-Hui Kuo, Shu-Hui Lin, Eric Hsiao-Kuang Wu
      Pages 3-11

    3. Evaluating Multi-dimensional Abilities of Bus Drivers

      • Ting-An Kuo, Chiuhsiang Joe Lin, Po-Hsiang Liu
      Pages 12-19

    4. Research on Detection Algorithm of Roadway Intersection Rule Detection Based on Big Data

      • Meirun Zhang, Fumin Zou, Yanling Deng, Xinhua Jiang, Lvchao Liao, Yun Chen
      Pages 20-27

    5. Predicting the Travel Time in Using Recurrent Neural Networks: A Case Study of Fuzhou

      • Luming Li, Xinhua Jiang
      Pages 28-35

    6. Driving Behavior Motivation Model Research Based on Vehicle Trajectory Data

      • Yun Chen, Xin-hua Jiang, Lyuchao Liao, Fu-min Zou, Mei-run Zhang
      Pages 36-44

    7. A Ranging Algorithm for Mobile Vehicles Based on Kalman Filter

      • Junmin Wang, Fumin Zou, Maolin Zhang, Lyuchao Liao, Yaxue Pang
      Pages 45-53

    8. The Evaluation of the Video Codec Performances on the Driving Recorder with Different Vehicle Speeds

      • Shi-Huang Chen, Zhi-Quan Huang, Wen-Kai Liu, Jui-Yang Tsai
      Pages 54-60

  3. Intelligent Railway Technology

    1. Front Matter

      Pages 61-61
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    2. Railway Train Working Diagram Plan System

      • Shaoquan Ni, Miaomiao Lyu, Hongxia Lv
      Pages 63-69

    3. Railway Passenger Service Mode on “Internet+”

      • Tao Chen, Zhen-ning Zhou, Jie-ru Zhang, Shao-quan Ni
      Pages 70-78

    4. Design of High Speed Train Operation Plan Simulation System

      • Dingjun Chen, Xinyi Lin, Hui Zhang, Kaiteng Wu
      Pages 79-88

    5. Service Quality Evaluation of Railway Freight Transportation Network Based on Bayes Theory

      • Xuepeng Zhang, Shengdong Li, Xiucong Li, Xinyi Lin, Xiaoyuan Lv
      Pages 89-95

    6. Train Headway Calculation and Simulation System for High-Speed Railway

      • Guolong Gao, Jie Zhang, Wenjing Lai, Yuchao Xin
      Pages 96-102

    7. Train Scheduling for Heavy Haul Railway

      • Pei Wang, Jie Zhang, Baoheng Feng, Wengao Peng
      Pages 103-108

    8. Research on Train Delay Diagnosis in Train Diagram Based on Big Data Technology

      • Yong Zhang, Wenqing Li, Shaoquan Ni, Xiaowei Liu
      Pages 109-116

    9. On Linear Precoding of Unitary Space-Time Modulation for Spatial-Temporal Correlated Flat Fading Channel

      • Caihong Yu, Kejun Jia, Zheng Yang
      Pages 117-123

  4. Innovative Electrical Technology

    1. Front Matter

      Pages 125-125
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    2. The Integration of DFX Principles with TRIZ for Product Design – A Case Study of Electric Scooter

      • Tien-Lun Liu, Yi-Chen Li, Ji-Ze Xiao
      Pages 127-134
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Other volumes

  1. Advances in Smart Vehicular Technology, Transportation, Communication and Applications

Keywords

About this book

This book presents papers from the First International Conference on Smart Vehicular Technology, Transportation, Communication and Applications (VTCA 2017). Held from 6 to 8 November 2017 in Kaohsiung, Taiwan, the conference was co-sponsored by Springer, Fujian University of Technology in China, Fujian Provincial Key Laboratory of Digital Equipment, Fujian Provincial Key Lab of Big Data Mining and Applications, and National Kaohsiung University of Applied Sciences in Taiwan. The book is a valuable resource for researchers and professionals engaged in all areas of smart vehicular technology, vehicular transportation, vehicular communication, and applications.

Editors and Affiliations

  • Fujian University of Technology, Fuzhou, China

    Jeng-Shyang Pan, Tsu-Yang Wu

  • Superconductivity R&D Center, Southwest Jiaotong University, Chengdu, China

    Yong Zhao

  • University of Canberra, Canberra, Australia

    Lakhmi C. Jain

Bibliographic Information

  • Book Title: Advances in Smart Vehicular Technology, Transportation, Communication and Applications

  • Book Subtitle: Proceedings of the First International Conference on Smart Vehicular Technology, Transportation, Communication and Applications, November 6-8, 2017, Kaohsiung, Taiwan

  • Editors: Jeng-Shyang Pan, Tsu-Yang Wu, Yong Zhao, Lakhmi C. Jain

  • Series Title: Smart Innovation, Systems and Technologies

  • DOI: https://doi.org/10.1007/978-3-319-70730-3

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer International Publishing AG 2018

  • Hardcover ISBN: 978-3-319-70729-7Published: 03 November 2017

  • Softcover ISBN: 978-3-319-88985-6Published: 15 September 2018

  • eBook ISBN: 978-3-319-70730-3Published: 01 November 2017

  • Series ISSN: 2190-3018

  • Series E-ISSN: 2190-3026

  • Edition Number: 1

  • Number of Pages: XV, 404

  • Number of Illustrations: 6 b/w illustrations, 10 illustrations in colour

  • Topics: Transportation Technology and Traffic Engineering, Computational Intelligence, Artificial Intelligence

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