LEADER 04467nam 22005895 450 001 9910983487703321 005 20241117120821.0 010 $a9789819779505$b(electronic bk.) 010 $z9789819779499 024 7 $a10.1007/978-981-97-7950-5 035 $a(MiAaPQ)EBC31784950 035 $a(Au-PeEL)EBL31784950 035 $a(CKB)36590107000041 035 $a(DE-He213)978-981-97-7950-5 035 $a(EXLCZ)9936590107000041 100 $a20241117d2025 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aReliability Evaluation and Its Influence on Traffic Application $eBased on Mobile Phone Signaling Data /$fby Fei Yang, Yanchen Wang, Yudong Guo, Haihang Jiang, Zhenxing Yao 205 $a1st ed. 2025. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2025. 215 $a1 online resource (201 pages) 311 08$aPrint version: Yang, Fei Reliability Evaluation and Its Influence on Traffic Application Singapore : Springer,c2025 9789819779499 327 $aPreface -- Chapter 1:Introduction -- Chapter 2:Review of Mobile Phone Data in Travel Characteristics Recognition -- Chapter 3 Principle and Feature of Mobile Phone Signaling Data -- Chapter 4:Individual Travel Chain Characteristics Recognition and Experimental System Design -- Chapter 5:Empirical Study on Travel Chain Characteristics Recognition by Mobile Phone Signaling Data -- Chapter 6:Influence of Analysis Reliability on Traffic Applications Based on Mobile Phone Signaling Data -- Chapter 7:Sensitivity Analysis Based on ?Communication-Traffic? Integrated Simulation -- Chapter 8:OUTLOOK -- Reference. 330 $aTraditional resident travel surveys have limited the development of traffic planning theory and traffic model technology. Although mobile phone signaling data has been widely used to analyze macro urban travel characteristics, travel patterns, and travel behavior due to the advantages such as wide coverage, dynamic performance, and low collection costs, its potential and reliability in collecting individual travel chain information lacked demonstration and consensus. This book aims to explore a set of methods to extract travel chain information based on the intensive base station under 4G/5G mobile communication network systems. It then verifies the reliability of constructed models from multiple perspectives by integrating empirical research and simulation technologies. Finally, it analyzes the influence of reliability on engineering practice from the perspective of traffic models. By demonstrating the availability of travel information extraction technology, this book provides a systematic and objective reference for traffic practitioners, which enhances their trust in related big data analysis technologies in traffic engineering. It also provides a solid foundation for optimizing and reconstructing theoretical traffic models, urban traffic planning, management, and decision-making. This book helps traffic engineering researchers, technicians, and managers better understand the difficulties and challenges associated with the application of signaling data. It also helps them better evaluate the impact of existing data types and extraction methods on the four-step method, and adapt to changes in traffic demand and technological environment to achieve theoretical innovation and technological reform. 606 $aTransportation engineering 606 $aTraffic engineering 606 $aWireless communication systems 606 $aMobile communication systems 606 $aTransportation Technology and Traffic Engineering 606 $aWireless and Mobile Communication 615 0$aTransportation engineering. 615 0$aTraffic engineering. 615 0$aWireless communication systems. 615 0$aMobile communication systems. 615 14$aTransportation Technology and Traffic Engineering. 615 24$aWireless and Mobile Communication. 676 $a629.04 700 $aYang$b Fei$0653415 701 $aWang$b Yanchen$01785403 701 $aGuo$b Yudong$01785404 701 $aJiang$b Haihang$01785405 701 $aYao$b Zhenxing$01359129 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9910983487703321 996 $aReliability Evaluation and Its Influence on Traffic Application$94316936 997 $aUNINA