Vehicular Traffic Control: A Ubiquitous Computing Approach

被引:1
|
作者
Dave, Naishadh K. [1 ]
Vaghela, Vanaraj B. [1 ]
机构
[1] Sankalchand Patel Coll Engn, EC Dept, Visnagar 384315, India
来源
关键词
URA (Unique Routing Agent); Ubiquitous computing (Ubicomp); Ubiquitous database;
D O I
10.1007/978-3-642-03547-0_32
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Vehicular traffic is a major problem in modern cities. We collectively waste huge amounts of time and resources while travelling through traffic congestion. Significant savings of fuel and time could be achieved if traffic control mechanism Could be effectively discovered. With the advent of increasingly sophisticated traffic management systems, Such as those incorporating dynamic traffic assignments, more stringent demands are being placed upon the available real time traffic data. To address the problem of real time traffic data availability and processing needs, we propose a method which uses novel concept of ubiquitous computing (Libicomp) which uses ubiquitous database and intelligent agents for traffic data management. The concept of Libicomp is shifting computing paradigm from machines in a room to the augmented contexts in the real world. Ubiquitous database will make data everywhere available automatically, and it augments object that manages information about itself. The proposed system uses URA (Unique Routing Agent) to handle the distribution of database. route discovery and route maintenance. The method has been simulated for the measurement of traffic related parameters like traffic load, occupancy and trip time.
引用
收藏
页码:336 / 348
页数:13
相关论文
共 50 条
  • [21] A semantic service discovery approach for ubiquitous computing
    Wang, Reen-Cheng
    Chang, Yao-Chung
    Chang, Ruay-Shiung
    JOURNAL OF INTELLIGENT MANUFACTURING, 2009, 20 (03) : 327 - 335
  • [22] An intelligent soft computing technique for prediction of vehicular traffic noise
    Ibrahim Khalil Umar
    Hüseyin Gökçekuş
    Vahid Nourani
    Arabian Journal of Geosciences, 2022, 15 (19)
  • [23] Characterizing the role of vehicular cloud computing in road traffic management
    Ahmad, Iftikhar
    Noor, Rafidah Md
    Ali, Ihsan
    Imran, Muhammad
    Vasilakos, Athanasios
    INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, 2017, 13 (05)
  • [24] VGrid: Vehicular adhoc networking and computing grid for intelligent traffic
    Anda, J
    LeBrun, J
    Ghosal, D
    Chuah, CN
    Zhang, M
    VTC2005-SPRING: 2005 IEEE 61ST VEHICULAR TECHNOLOGY CONFERENCE, VOLS 1-5, PROCEEDINGS, 2005, : 2905 - 2909
  • [25] Vehicular Path Planning for Balancing Traffic Congestion Cost and Fog Computing Reward: A Routing Game Approach
    Xiong, Man
    Yi, Changyan
    Zhu, Kun
    WIRELESS ALGORITHMS, SYSTEMS, AND APPLICATIONS, WASA 2021, PT II, 2021, 12938 : 366 - 377
  • [26] The Role of Vehicular Cloud Computing in Road Traffic Management: A Survey
    Ahmad, Iftikhar
    Noor, Rafidah Md
    Ali, Ihsan
    Qureshi, Muhammad Ahsan
    FUTURE INTELLIGENT VEHICULAR TECHNOLOGIES, FUTURE 5V 2016, 2017, 185 : 123 - 131
  • [27] Securing admission control in ubiquitous computing environment
    Yang, JP
    Rhee, KH
    NETWORKING - ICN 2005, PT 2, 2005, 3421 : 972 - 979
  • [28] Auto-delegation of Access Control Towards Ubiquitous Computing: A Decision Theory Approach
    Kamble, Priyanka N.
    Mahalle, Parikshit N.
    2014 ANNUAL IEEE INDIA CONFERENCE (INDICON), 2014,
  • [29] Ubiquitous Vehicular Ad-Hoc Network Computing Using Deep Neural Network with IoT-Based Bat Agents for Traffic Management
    Kannan, Srihari
    Dhiman, Gaurav
    Natarajan, Yuvaraj
    Sharma, Ashutosh
    Mohanty, Sachi Nandan
    Soni, Mukesh
    Easwaran, Udayakumar
    Ghorbani, Hamidreza
    Asheralieva, Alia
    Gheisari, Mehdi
    ELECTRONICS, 2021, 10 (07)
  • [30] Model Predictive Traffic Control to Reduce Vehicular Emissions - An LPV-Based Approach
    Zegeye, S. K.
    De Schutter, B.
    Hellendoorn, J.
    2010 AMERICAN CONTROL CONFERENCE, 2010, : 2284 - 2289