Fog robotics-based intelligence transportation system using line-of-sight intelligent transportation

被引:9
|
作者
Poornima, E. [1 ]
Muthu, BalaAnand [2 ]
Agrawal, Ruchi [3 ]
Kumar, S. Pradeep [4 ]
Dhingra, Mallika [5 ]
Asaad, Renas Rajab [6 ]
Jumani, Awais Khan [7 ,8 ]
机构
[1] Gokaraju Rangaraju Inst Engn & Technol, Dept CSE AI ML, Hyderabad, India
[2] Tagore Inst Engn & Technol, Dept Comp Sci & Engn, Salem, India
[3] GLA Univ, Mathura, India
[4] SK Univ, Univ Coll Engn & Technol, Dept Civil Engn, Ananthapuram, India
[5] Manipal Univ Jaipur, Dept Math & Stat, Jaipur 303007, Rajasthan, India
[6] Nawroz Univ, Dept Comp Sci, Duhok, Kurdistan Regio, Iraq
[7] South China Univ Technol, Sch Elect & Informat Engn, Guangzhou, Guangdong, Peoples R China
[8] ILMA Univ Karachi, Dept Comp Sci, Karachi, Sindh, Pakistan
关键词
Artificial intelligence; Autonomous driving; Decentralized wireless sensor; Fabrication framework; Fog- robotics transportation; NEURAL-NETWORKS;
D O I
10.1007/s11042-023-15086-6
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Intelligent Transportation System (ITS) idea was developed to improve road safety, traffic management efficiency, and environmental preservation. The fog- robotics Based Intelligent Transportation Systems integrate Internet of Vehicles (IoV) devices to Fog Computing (FC) centers, which process the data. On the other hand, providing massive data from widely distant devices causes network overhead and bottlenecks in Autonomous Driving and a drain on Energy Management. To fill this research gap, fog-robotics-based intelligent transportation systems are proposed to cover the line-of-sight direction for path adopting self-directed intelligent transportation. The Intelligent Transportation Systems with FC Techniques work towards the Fog Robotics Platform for making efficient fog- robotics Transportation Systems. The Proposed System has two functionalities; firstly, the analysis of automatic Fog- robotics transportation systems is introducing decentralized wireless sensor transfer assisted flocking autonomous driving for energy management of fog- robotics transportation systems. It Shows the Sensor activities as per the "scanning of the roadside meter." It enumerates speed control. Secondly, Artificial Intelligence Enabled Intelligent speed assistance is formed based on Vehicle Infrastructure Integration (VII). This Vehicle infrastructure integration is used to show the Smart highway, which is adaptable with the fog- robotics Transportation Systems. Although the formation of "Digital modeling and fabrication framework" procedural aspect employed to connect the "Fog- robotics Transportation Systems" and "Vehicle infrastructure integration." This Artificial Intelligence configuration is used to Enabled Intelligent speed assistance for controlling the car for their atmosphere. Finally, these rely on are consolidated with the position/navigation system, and the vehicle detection ratio is analyzed with the vehicle efficiency and economic activity for intelligent speed assistance.
引用
收藏
页数:29
相关论文
共 50 条
  • [1] Design and development of e-smart robotics-based underground solid waste storage and transportation system
    Kumar, Ajay
    Verma, Sujit Kumar
    JOURNAL OF CLEANER PRODUCTION, 2022, 343
  • [2] Fog Assisted Driver Behavior Monitoring for Intelligent Transportation System
    Aazam, Mohammad
    Fernando, Xavier
    2017 IEEE 86TH VEHICULAR TECHNOLOGY CONFERENCE (VTC-FALL), 2017,
  • [3] Elasticity of Intelligent Transportation System Applications in a Fog Computing Environment
    Medeiros, Thiago C.
    Soares, Elton
    Vieira Campos, Carlos Alberto
    2022 INTERNATIONAL WIRELESS COMMUNICATIONS AND MOBILE COMPUTING, IWCMC, 2022, : 560 - 565
  • [4] An Intelligent Transportation System using RFID based Sensors
    Wang, Chao
    Li, Xi
    Wang, Aili
    Yang, Feng
    Zhou, Xuehai
    2013 IEEE 15TH INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING AND COMMUNICATIONS & 2013 IEEE INTERNATIONAL CONFERENCE ON EMBEDDED AND UBIQUITOUS COMPUTING (HPCC_EUC), 2013, : 337 - 344
  • [5] Detection of GNSS no-line of sight signals using LiDAR sensors for intelligent transportation systems
    Hassan, T.
    Fath-Allah, T.
    Elhabiby, M.
    Awad, A.
    El-Tokhey, M.
    SURVEY REVIEW, 2022, 54 (385) : 301 - 309
  • [6] Intelligent Transportation System using Smartphone
    Nafrees, Abdul Cader Mohamed
    Raseez, Saleem Mohamed Salees
    Ubeshanan, Charles Glany
    Achutharaj, Kurunathan
    Hanees, Ahamed Lebbe
    2021 5TH INTERNATIONAL CONFERENCE ON ELECTRICAL, ELECTRONICS, COMMUNICATION, COMPUTER TECHNOLOGIES AND OPTIMIZATION TECHNIQUES (ICEECCOT), 2021, : 229 - 234
  • [7] Intelligent Transportation System Based on ARM
    Bo, Li
    Zhang, Aiqin
    Jin, Hao
    Ji, Shengli
    Tao, Xu
    2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23, 2008, : 7060 - +
  • [8] Design of Highway Intelligent Transportation System Based on the Internet of Things and Artificial Intelligence
    Cui, Yang
    Lei, Dongfei
    IEEE ACCESS, 2023, 11 : 46653 - 46664
  • [9] Improving Intelligent Transportation System (ITS) introducing a FOG cooperative strategy
    Raimondo, Pierfrancesco
    Seriannit, Abdon
    Palmierit, Nunzia
    Potrino, Giuseppe
    2018 26TH TELECOMMUNICATIONS FORUM (TELFOR), 2018, : 69 - 72
  • [10] Development of GNSS-based Transportation Infrastructure for Intelligent Transportation System
    Park, Jae-Ik
    Lee, Eunsung
    Heo, Moon-Beom
    PROCEEDINGS OF THE 2013 INTERNATIONAL TECHNICAL MEETING OF THE INSTITUTE OF NAVIGATION, 2013, : 909 - 914