Education, Science, Technology, Innovation and Life
Open Access
Sign In
  1. Home
  2. Journals
  3. Advances in Computer, Signals and Systems
  4. Vol 7, Issue 3, 2023

Vehicle Wireless Location Fusion Algorithm in Highway Vehicle Road Collaborative Environment

Download as PDF

DOI: 10.23977/acss.2023.070309 | Downloads: 17 | Views: 449

Author(s)

Zenan Gu 1

Affiliation(s)

1 Applied Engineering College, Zhejiang Business College, Hangzhou, Zhejiang, 310053, China

Corresponding Author

Zenan Gu

ABSTRACT

As the core technology for the development of intelligent transportation systems, vehicle-road collaboration technology also plays a key role in improving the safety of people and vehicles in the transportation system. This paper mainly studies the fusion algorithm of wireless positioning of vehicles in the coordinated environment of highway vehicles and roads. In the experiment, the model is adjusted using experimental data in a coordinated environment between vehicles and roads. By analyzing the applicability of the wireless positioning method in the coordinated environment of vehicles and roads, a wireless positioning method suitable for vehicle positioning research is selected. Then, select the appropriate positioning performance evaluation index to evaluate the positioning accuracy. The input and output of the simulation system are determined by analyzing the requirements of the simulation platform based on the functions of the Internet of Vehicles environment BRT simulation platform and the system engineering perspective. First, acquire a video image, perform grayscale and noise removal processing on the image, and perform an image histogram operation. Experimental data shows that the proposed vehicle wireless positioning fusion algorithm can locate vehicles in the actual road environment. When the accuracy rate is 67%, the accuracy is 46.31m; when the accuracy rate is 95%, the accuracy is 122.53m. The results show that the vehicle positioning algorithm can improve traffic efficiency and safety to a certain extent, and can delay traffic congestion when the vehicle density is oversaturated.

KEYWORDS

Vehicle-Road Collaboration, Wireless Positioning, Vehicle Detection, Feature Extraction, Fusion Algorithm

CITE THIS PAPER

Zenan Gu. Vehicle Wireless Location Fusion Algorithm in Highway Vehicle Road Collaborative Environment. Advances in Computer, Signals and Systems (2023) Vol. 7: 60-76. DOI: http://dx.doi.org/10.23977/acss.2023.070309.

REFERENCES

[1] Ismail A H, Mizushiri Y, Tasaki R, et al. (2017) A Novel Automated Construction Method of Signal Fingerprint Database for Mobile Robot Wireless Positioning System. International Journal of Automation Technology, 11(3):459-471.
[2] Gikas V, Antoniou C, Retscher G, et al. (2016) A low-cost wireless sensors positioning solution for indoor parking facilities management. Journal of Location Based Services, 10(4):241-261.
[3] Chen L, Yang L L, Yan J, et al. (2017) Joint Wireless Positioning and Emitter Identification in DVB-T Single Frequency Networks. IEEE Transactions on Broadcasting, 63(3):577-582.
[4] Wang B, Xu Q, Chen C, et al. (2018) The Promise of Radio Analytics: A Future Paradigm of Wireless Positioning, Tracking, and Sensing. IEEE Signal Processing Magazine, 35(3):59-80.
[5] Wang D, Ghannouchi F M, Ding Y, et al. (2017) 70% Energy Saving in Wireless Positioning Systems: Non-Data-Bearing OFDM Transmission Replaces Non-Pulse-Shaping PN Transmission. IEEE Systems Journal, 9(3):664-674.
[6] Li J, Xu L, Xu Q, et al. (2019) Applications of Wireless Positioning Technology in Mobile Cranes. Zhongguo Jixie Gongcheng/China Mechanical Engineering, 30(6):716-721.
[7] Yao L, Pitla S K, Yang Z, et al. (2019) Path tracking of mobile platform in agricultural facilities based on ultra wideband wireless positioning. Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering, 35(2):17-24.
[8] Shao G, Guo Y X. (2020) Hybrid Wireless Positioning and Charging With Switched Field Helmholtz Coils for Wireless Capsule Endoscopy. IEEE Transactions on Microwave Theory and Techniques, 68(3):904-913.
[9] Jog S, Bhatnagar V, Burli R, et al. (2017) Study of Radiated Emission from Wireless Positioning System and the Strategies to Minimize the Radiations. Wireless Personal Communications, 96(1):1-19.
[10] Shankar A, Jaisankar N. (2017) Base Station Positioning in Wireless Sensor Network to aid Cluster Head Selection Process. International Journal of Intelligent Engineering and Systems, 10(3):173-182.
[11] Sivanantham E. (2020) Base Station Positioning in Wireless Networks Using Self-Adaptive Particle Swarm Optimization Approach. International Journal of Advanced Trends in Computer ence and Engineering, 9(2):1662-1667.
[12] Jose L C V, Zhao Z, Braun T, et al. (2019) A Particle Filter-Based Reinforcement Learning Approach for Reliable Wireless Indoor Positioning. IEEE Journal on Selected Areas in Communications, 37(99):2457-2473.
[13] Dobrev Y, Vossiek M, Christmann M, et al. (2017) Steady Delivery: Wireless Local Positioning Systems for Tracking and Autonomous Navigation of Transport Vehicles and Mobile Robots. IEEE Microwave Magazine, 18(6):26-37.
[14] Morales J, Akopian D, Agaian S. (2016) Mitigating anomalous measurements for indoor wireless local area network positioning. IET Radar, Sonar & Navigation, 10(7):1220-1227.
[15] Karegar P A. (2018) Wireless fingerprinting indoor positioning using affinity propagation clustering methods. Wireless Networks, 24(8):2825-2833.
[16] Vien Q, Nguyen H X, Stewart B G, et al. (2017) On the Energy–Delay Tradeoff and Relay Positioning of Wireless Butterfly Networks. IEEE Transactions on Vehicular Technology, 64(1):159-172.
[17] Hongyu Wang, Zhanhao Zhao, Jialiang Hu. (2016) Study on improvement of fingerprint matching algorithm in wireless LAN based indoor positioning system. Future Generation Computer Systems, 37(7):76-87.
[18] Aziz A A, Ginting L, Setiawan D, et al. (2019) Battery-Less Location Tracking for Internet of Things: Simultaneous Wireless Power Transfer and Positioning. IEEE Internet of Things Journal, 6(5):9147-9164.
[19] Copp B L, Subbarao K. (2016) Augmenting Wireless Time-of-Arrival Positioning with Terrain Elevation Measurements for Navigation. Journal of Guidance Control Dynamics, 10(7):1726-1738.
[20] Guvenc I, Saad W, Bennis M, et al. (2016) Wireless communications, networking, and positioning with unmanned aerial vehicles [Guest Editorial]. IEEE Communications Magazine, 54(5):24-25.
[21] Banitalebi-Dehkordi M, Abouei J, Plataniotis K N. (2017) Compressive-Sampling-Based Positioning in Wireless Body Area Networks. IEEE Journal of Biomedical & Health Informatics, 18(1):335-344.
[22] Martirosyan A, Boukerche A. (2016) LIP: an efficient lightweight iterative positioning algorithm for wireless sensor networks. Wireless Networks, 22(3):825-838.
[23] Ke M, Xu Y, Anpalagan A, et al. (2018) Distributed TOA-Based Positioning in Wireless Sensor Networks: A Potential Game Approach. IEEE Communications Letters, 22(2):316-319.
[24] He D. (2017) A novel wireless sensor networks multilateration positioning method based on quartic double-well bistable stochastic resonance technique. Nonlinear Theory & Its Applications Ice, 8(1):49-57.
[25] Dastjerdi A V, Buyya R. (2016) Fog Computing: Helping the Internet of Things Realize Its Potential. Computer, 49(8):112-116.
[26] Perera C, Liu C H, Jayawardena S. (2017) The Emerging Internet of Things Marketplace from an Industrial Perspective: A Survey. IEEE Transactions on Emerging Topics in Computing, 3(4):585-598.
[27] Singh J, Pasquier T, Bacon J, et al. (2017) Twenty Security Considerations for Cloud-Supported Internet of Things. IEEE Internet of Things Journal, 3(3):269-284.

Subscription
E-Mail Alert
Most popular papers
Call for Special Issue
Publication Ethics & OA Statement
Plagiarism Policy
Contact Us
Downloads: 14736
Visits: 265221

Sponsors, Associates, and Links

All published work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright © 2016 - 2031 Clausius Scientific Press Inc. All Rights Reserved.