<?xml version="1.0" encoding="UTF-8"?>
<record
    xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
    xsi:schemaLocation="http://www.loc.gov/MARC21/slim http://www.loc.gov/standards/marcxml/schema/MARC21slim.xsd"
    xmlns="http://www.loc.gov/MARC21/slim">

  <leader>04018nam a22003854u 4500</leader>
  <controlfield tag="001">10.1002/9781394228416</controlfield>
  <controlfield tag="003">Wiley</controlfield>
  <controlfield tag="005">20251030120307.0</controlfield>
  <controlfield tag="007">cr nn 008mam|a</controlfield>
  <controlfield tag="008">241014t2024||||xxu    fs|   |0|| 0|eng||</controlfield>
  <datafield tag="020" ind1=" " ind2=" ">
    <subfield code="a">9781394228416</subfield>
    <subfield code="q">electronic</subfield>
  </datafield>
  <datafield tag="024" ind1="7" ind2=" ">
    <subfield code="a">10.1002/9781394228416</subfield>
    <subfield code="2">doi</subfield>
  </datafield>
  <datafield tag="041" ind1=" " ind2=" ">
    <subfield code="a">eng</subfield>
  </datafield>
  <datafield tag="100" ind1="1" ind2=" ">
    <subfield code="a">Meshram, Kundan</subfield>
    <subfield code="4">aut</subfield>
    <subfield code="9">91527</subfield>
  </datafield>
  <datafield tag="245" ind1="1" ind2="0">
    <subfield code="a">Urban Transportation Systems</subfield>
    <subfield code="b">Sustainability and Future Development</subfield>
    <subfield code="h">[electronic resource]</subfield>
    <subfield code="c">Kundan Meshram</subfield>
  </datafield>
  <datafield tag="250" ind1=" " ind2=" ">
    <subfield code="a">1</subfield>
  </datafield>
  <datafield tag="260" ind1=" " ind2=" ">
    <subfield code="b">Wiley</subfield>
    <subfield code="c">2024</subfield>
  </datafield>
  <datafield tag="264" ind1=" " ind2="1">
    <subfield code="b">Wiley</subfield>
    <subfield code="c">2024</subfield>
  </datafield>
  <datafield tag="300" ind1=" " ind2=" ">
    <subfield code="a">416pp.;</subfield>
  </datafield>
  <datafield tag="336" ind1=" " ind2=" ">
    <subfield code="a">text</subfield>
    <subfield code="b">txt</subfield>
    <subfield code="2">rdacontent</subfield>
  </datafield>
  <datafield tag="337" ind1=" " ind2=" ">
    <subfield code="a">computer</subfield>
    <subfield code="b">c</subfield>
    <subfield code="2">rdamedia</subfield>
  </datafield>
  <datafield tag="338" ind1=" " ind2=" ">
    <subfield code="a">online resource</subfield>
    <subfield code="b">cr</subfield>
    <subfield code="2">rdacarrier</subfield>
  </datafield>
  <datafield tag="347" ind1=" " ind2=" ">
    <subfield code="a">text file</subfield>
    <subfield code="2">rdaft</subfield>
  </datafield>
  <datafield tag="347" ind1=" " ind2=" ">
    <subfield code="b">PDF</subfield>
  </datafield>
  <datafield tag="520" ind1=" " ind2=" ">
    <subfield code="a">This exciting new volume covers the most up-to-date advances, theories, and practical applications for non-motorized transportation (NMT) systems, geographic information system-based transportation systems, and signal processing for urban transportation systems. This book will allow readers to readers to identify traffic and transport problems in cities and to study mass transportation systems, and modes of transportation and their characteristics, focusing on transportation infrastructure which includes green bays, control stations, mitigation buildings, separator lanes, and safety islands. From this, readers will be able to study urban public transport systems and gain some background into intelligent transportation and telemetric systems, including techniques for designing transport telemetric systems and applying them to urban transportation. Applications include advanced traffic management systems, advanced traveler information systems, advanced vehicle control systems, commercial vehicle operational management, advanced public transportation systems, electronic payment systems, advanced urban transportation, security and safety systems, and urban traffic control. From this, an artificial Intelligence-based transportation system design using genetic algorithms and neural networks is discussed, to show applications in designs. These models and their studies are further extended in signal processing systems and geographic information systems (GIS) to improve transportation system design, and to apply this to the design of non-motorized transportation models, while ensuring pedestrian safety. All these models are further analyzed for environmental impact assessment, which include structural audits, analysis of site selection procedure, baseline conditions and major concerns, green building and its advantages, the description of potential environmental effects, and many more interesting topics.</subfield>
  </datafield>
  <datafield tag="650" ind1=" " ind2="4">
    <subfield code="a">Transportation Engineering</subfield>
    <subfield code="9">65686</subfield>
  </datafield>
  <datafield tag="650" ind1=" " ind2="4">
    <subfield code="a">GIS &amp; Remote Sensing</subfield>
    <subfield code="9">91528</subfield>
  </datafield>
  <datafield tag="650" ind1=" " ind2="4">
    <subfield code="a">GIS, Remote Sensing &amp; Cartography</subfield>
    <subfield code="9">91529</subfield>
  </datafield>
  <datafield tag="653" ind1="0" ind2="0">
    <subfield code="a">Intelligent Transportation System; Telemetric; Artificial Intelligence; Signal processing for sustainable transport; Geographic information system; Non-Motorized Transportation; Pedestrian Traffic; Environmental Impact Assessment; Public Transport; Multi-modal transportation systems; Sustainable urban transportation systems; Road Safety; Machine Learning; Transportation Engineering; Deep Learning; Mass transport; Modes of transportation; Transportation Infrastructure; Advanced operation concepts of Urban transportation; Advanced traffic management system; Accident avoidance with AI; Role of GIS in transportation; Non-Motorized Transportation (NMT) Systems; Urban Pedestrian Safety; Green building</subfield>
  </datafield>
  <datafield tag="776" ind1="0" ind2="8">
    <subfield code="i">Printed edition:</subfield>
    <subfield code="z">9781394228249</subfield>
  </datafield>
  <datafield tag="856" ind1="4" ind2="0">
    <subfield code="u">https://doi.org/10.1002/9781394228416</subfield>
    <subfield code="a">Wiley Online Library</subfield>
  </datafield>
  <datafield tag="856" ind1="4" ind2="0">
    <subfield code="u">https://onlinelibrary.wiley.com/action/showBook?doi=10.1002%2F9781394228416</subfield>
    <subfield code="a">Wiley Online Library</subfield>
  </datafield>
  <datafield tag="856" ind1="4" ind2="2">
    <subfield code="3">Cover Image</subfield>
    <subfield code="u">https://onlinelibrary.wiley.com/cms/asset/65bfee36-0a4a-4e16-9b10-821d093e1046/9781394228416.cover.gif</subfield>
    <subfield code="a">Wiley Online Library</subfield>
  </datafield>
  <datafield tag="999" ind1=" " ind2=" ">
    <subfield code="c">66987</subfield>
    <subfield code="d">66987</subfield>
  </datafield>
</record>
