Advanced intelligent predictive models for urban transportation / (Record no. 5079)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 04381cam a2200529Ki 4500 |
| 001 - CONTROL NUMBER | |
| control field | 9781003217367 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | FlBoTFG |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240213122826.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS | |
| fixed length control field | m o d |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
| fixed length control field | cr cnu|||unuuu |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 220302s2022 xx eo 000 0 eng d |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | OCoLC-P |
| Language of cataloging | eng |
| Description conventions | rda |
| -- | pn |
| Transcribing agency | OCoLC-P |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781003217367 |
| Qualifying information | (electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 1003217362 |
| Qualifying information | (electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781000555981 |
| Qualifying information | (electronic bk. : EPUB) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 1000555984 |
| Qualifying information | (electronic bk. : EPUB) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781000555905 |
| Qualifying information | (electronic bk. : PDF) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 1000555909 |
| Qualifying information | (electronic bk. : PDF) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| Canceled/invalid ISBN | 9781032108513 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| Canceled/invalid ISBN | 9781032228044 |
| 024 7# - OTHER STANDARD IDENTIFIER | |
| Standard number or code | 10.1201/9781003217367 |
| Source of number or code | doi |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (OCoLC)1301430967 |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (OCoLC-P)1301430967 |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | TE228.3 |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | COM |
| Subject category code subdivision | 091000 |
| Source | bisacsh |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | TEC |
| Subject category code subdivision | 009140 |
| Source | bisacsh |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | UB |
| Source | bicssc |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 388 |
| Edition number | 23/eng/20220103 |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Sathiyaraj, R., |
| Relator term | author. |
| 245 10 - TITLE STATEMENT | |
| Title | Advanced intelligent predictive models for urban transportation / |
| Statement of responsibility, etc. | Dr. R. Sathiyaraj Assistant Professor, Department of CSE, School of Engineering and Technology, CMR University, Bangalore, Karnataka, India, Dr. A. Bharathi Professor, Department of IT, Bannari Amman Institute of Technology, Sathyamangalam, Tamil Nadu, India, Dr. B. Balamurugan Professor, School of CSE, Galgotias University, Greater Noida, Uttar Pradesh, India. |
| 250 ## - EDITION STATEMENT | |
| Edition statement | First edition. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | [Place of publication not identified] : |
| Name of producer, publisher, distributor, manufacturer | Chapman and Hall/CRC, |
| Date of production, publication, distribution, manufacture, or copyright notice | 2022. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 1 online resource (xii, 132 pages). |
| 336 ## - CONTENT TYPE | |
| Content type term | text |
| Content type code | txt |
| Source | rdacontent |
| 337 ## - MEDIA TYPE | |
| Media type term | computer |
| Media type code | c |
| Source | rdamedia |
| 338 ## - CARRIER TYPE | |
| Carrier type term | online resource |
| Carrier type code | cr |
| Source | rdacarrier |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Preface--Authors--1 Overview--2 Related Works--3 Smart Traffic Prediction and Congestion Avoidance System (S-TPCA) UsingGenetic Predictive Models for Urban Transportation--4 Short-Term Traffic Prediction Model (STTPM)--5 An Efficient Intelligent Traffic Light Control and Deviation System--6 IoT-Based Intelligent Transportation System (IoT-ITS)--7 Intelligent Traffic Light Control and Ambulance Control System--8 Conclusions and Future Research--Bibliography--Index-- |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | "Advanced intelligent predictive models for urban transportation emphasizes the predictive models of Big Data, Genetic Algorithm, and IoT with a case study. It illustrates the predictive models with integrated fuel consumption models for smart and safe traveling. The text is a coordinated amalgamation of research contributions and industrial applications in the field of Intelligent Transportation Systems. The advanced predictive models and research results were achieved with the case studies, deployed in real transportation environments. Features: provides a smart traffic congestion avoidance system with an integrated fuel consumption model, predicts traffic in short-term and regular (this is illustrated with a case study), explores efficient traffic light controller and deviation system in accordance with the traffic scenario, considers IoT based Intelligent Transport Systems in a Global perspective and intelligent Traffic Light Control System and Ambulance Control System. The text also provides a predictive framework that can handle the traffic on abnormal days, such as weekends, festival holidays. In addition to that, this book focuses on advanced predictive models along with offering an efficient solution for smart traffic management systems. It is a complete framework for ITS domain with the advanced concepts of Big Data Analytics, Genetic Algorithm and IoT. Advanced intelligent predictive models for urban transportation is primarily aimed at IT professionals. Undergraduates, graduates and researchers in the area of computer science and information technology will also find this book useful"-- |
| Assigning source | Provided by publisher. |
| 588 ## - SOURCE OF DESCRIPTION NOTE | |
| Source of description note | OCLC-licensed vendor bibliographic record. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Intelligent transportation systems. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Traffic estimation |
| General subdivision | Mathematical models. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Urban transportation |
| General subdivision | Planning |
| -- | Statistical methods. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Bharathi, A., |
| Relator term | author. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Balusamy, Balamurugan, |
| Relator term | author. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Materials specified | Taylor & Francis |
| Uniform Resource Identifier | <a href="https://www.taylorfrancis.com/books/9781003217367">https://www.taylorfrancis.com/books/9781003217367</a> |
| 856 42 - ELECTRONIC LOCATION AND ACCESS | |
| Materials specified | OCLC metadata license agreement |
| Uniform Resource Identifier | <a href="http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf">http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf</a> |
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