Intelligent Public Transportation Systems: A Review of Architectures and Enabling Technologies

被引:0
|
作者
Elkosantini, Sabeur [1 ]
Darmoul, Saber [1 ]
机构
[1] Univ Sfax, LOGIQ Res Unit, Higher Inst Comp Sci Mahdia, Sfax, Tunisia
关键词
Intelligent Transportation Systems; public transportation; technologies; architectures; TRAVELER INFORMATION-SYSTEMS; MANAGEMENT; NETWORKS; SERVICES; DESIGN;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Intelligent Public Transportation Systems (IPTS) are a subsystem of Intelligent Transportation Systems (ITS), which aim to control public transportation networks, to maintain their performance, and to provide users (passengers and decision makers) with up-to-date information about trips and network operating conditions. To reach these aims, IPTS rely on several technologies that can be embedded within different control architectures. This paper introduces IPTS components and technologies, identifies the different types of data captured from the transportation network and exchanged between IPTS components, and shows ways to integrate technological components and data within IPTS architectures. A section is dedicated to review architectural design of some developed IPTS to control public transportation networks. Finally, some challenges are discussed and further research directions are highlighted.
引用
收藏
页码:233 / 238
页数:6
相关论文
共 50 条
  • [21] Fundamentals of Intelligent Public Transportation Dispatching Systems Planning
    Mo Yikui
    Deng Jun
    [J]. 2009 ISECS INTERNATIONAL COLLOQUIUM ON COMPUTING, COMMUNICATION, CONTROL, AND MANAGEMENT, VOL IV, 2009, : 41 - +
  • [22] Intelligent materials and systems as a basis for innovative technologies in transportation vehicles
    Boller, C
    [J]. THIRD INTERNATIONAL CONFERENCE ON INTELLIGENT MATERIALS - THIRD EUROPEAN CONFERENCE ON SMART STRUCTURES AND MATERIALS, 1996, 2779 : 16 - 27
  • [23] Intelligent transport systems: emerging technologies and methods in transportation and traffic
    Taylor, MAP
    [J]. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2004, 12 (3-4) : 167 - 169
  • [24] SPECIAL ISSUE MODELS AND TECHNOLOGIES FOR INTELLIGENT TRANSPORTATION SYSTEMS Preface
    Fusco, Gaetano
    [J]. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2013, 29 : 115 - 116
  • [25] Digital Twin in Intelligent Transportation Systems: a Review*
    Ali, Wasim A.
    Roccotelli, Michele
    Fanti, Maria Pia
    [J]. 2022 8TH INTERNATIONAL CONFERENCE ON CONTROL, DECISION AND INFORMATION TECHNOLOGIES (CODIT'22), 2022, : 576 - 581
  • [26] Advanced Learning Technologies for Intelligent Transportation Systems: Prospects and Challenges
    Khalil, Ruhul Amin
    Safelnasr, Ziad
    Yemane, Naod
    Kedir, Mebruk
    Shafiqurrahman, Atawulrahman
    Saeed, Nasir
    [J]. IEEE OPEN JOURNAL OF VEHICULAR TECHNOLOGY, 2024, 5 : 397 - 427
  • [27] At the Core of Intelligent Transportation Technologies
    Angel Sotelo, Miguel
    [J]. IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE, 2018, 10 (02) : 3 - +
  • [28] Editorial Conclusion for the Special Issue "Advanced Transportation Technologies and Symmetries in Intelligent Transportation Systems"
    Tian, Guangdong
    Li, Zhiwu
    Yu, Dexin
    Fathollahi-Fard, Amir M.
    Jin, Lisheng
    Jiang, Xingyu
    [J]. SYMMETRY-BASEL, 2022, 14 (07):
  • [29] Enabling distributed intelligent systems in open environments through Agreement Technologies
    Ossowski, Sascha
    [J]. 14TH INTERNATIONAL SYMPOSIUM ON SYMBOLIC AND NUMERIC ALGORITHMS FOR SCIENTIFIC COMPUTING (SYNASC 2012), 2012, : 3 - 6
  • [30] Smart Antennas and Intelligent Sensors Based Systems: Enabling Technologies and Applications
    Zaman, Fawad
    Lee, Sungchang
    Rahim, Mohamad K. A.
    Khan, Sarmadullah
    [J]. WIRELESS COMMUNICATIONS & MOBILE COMPUTING, 2019, 2019