Automated Tolling Solution with Novel Inductive Loop Detectors Using Machine Learning Techniques-Reference-Cited by-同舟云学术

Automated Tolling Solution with Novel Inductive Loop Detectors Using Machine Learning Techniques

Published:2018-11 Issue:6 Volume:32 Page:04018046
ISSN:0887-3801
Container-title:Journal of Computing in Civil Engineering
language:en
Short-container-title:J. Comput. Civ. Eng.

Author:

Yogesh Goli Koti Veera¹,Vanajakshi Lelitha²

Affiliation:

1. Graduate Student, Dept. of Civil Engineering, Indian Institute of Technology Madras, Chennai 600036, India.

2. Associate Professor, Dept. of Civil Engineering, Indian Institute of Technology Madras, Chennai 600036, India (corresponding author).

Publisher

American Society of Civil Engineers (ASCE)

Subject

Computer Science Applications,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29CP.1943-5487.0000789

Reference29 articles.

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3. An Efficient Multiple-Loop Sensor Configuration Applicable for Undisciplined Traffic

4. Ali S. S. M. B. George L. Vanajakshi V. Jayashankar and V. J. Kumar. 2011b. “A multiple loop vehicle detection system for heterogeneous and lane-less traffic.” In Vol. 61 of Proc. IEEE Int. Instrumentation and Measurement Technology Conf. 1413–1417. New York: IEEE.

5. Ali S. S. M. N. Joshi B. George and L. Vanajakshi. 2012. “Application of random forest algorithm to classify vehicles detected by a multiple inductive loop system.” In Proc. IEEE Conf. on Intelligent Transportation Systems 16–19. New York: IEEE.

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