000 04018nam a22003854u 4500
001 10.1002/9781394228416
003 Wiley
005 20251030120307.0
007 cr nn 008mam|a
008 241014t2024||||xxu fs| |0|| 0|eng||
020 _a9781394228416
_qelectronic
024 7 _a10.1002/9781394228416
_2doi
041 _aeng
100 1 _aMeshram, Kundan
_4aut
_991527
245 1 0 _aUrban Transportation Systems
_bSustainability and Future Development
_h[electronic resource]
_cKundan Meshram
250 _a1
260 _bWiley
_c2024
264 1 _bWiley
_c2024
300 _a416pp.;
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_2rdaft
347 _bPDF
520 _aThis 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.
650 4 _aTransportation Engineering
_965686
650 4 _aGIS & Remote Sensing
_991528
650 4 _aGIS, Remote Sensing & Cartography
_991529
653 0 0 _aIntelligent 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
776 0 8 _iPrinted edition:
_z9781394228249
856 4 0 _uhttps://doi.org/10.1002/9781394228416
_aWiley Online Library
856 4 0 _uhttps://onlinelibrary.wiley.com/action/showBook?doi=10.1002%2F9781394228416
_aWiley Online Library
856 4 2 _3Cover Image
_uhttps://onlinelibrary.wiley.com/cms/asset/65bfee36-0a4a-4e16-9b10-821d093e1046/9781394228416.cover.gif
_aWiley Online Library
999 _c66987
_d66987