LEADER 03677nam 22005775 450 001 9911049111703321 005 20260102120719.0 010 $a3-032-02221-5 024 7 $a10.1007/978-3-032-02221-9 035 $a(CKB)44769989900041 035 $a(MiAaPQ)EBC32471180 035 $a(Au-PeEL)EBL32471180 035 $a(DE-He213)978-3-032-02221-9 035 $a(EXLCZ)9944769989900041 100 $a20260102d2026 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aCrowd Dynamics, Volume 5 $eFrom Human Complexity to Scientific Machine Learning /$fedited by Livio Gibelli, Nicola Bellomo 205 $a1st ed. 2026. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Birkhäuser,$d2026. 215 $a1 online resource (328 pages) 225 1 $aModeling and Simulation in Science, Engineering and Technology,$x2164-3725 311 08$a3-032-02220-7 327 $aChapter 1. From the Complexity of Human Crowds to Research Perspectives -- Chapter 2. Exploring Dense Crowd Dynamics: State of the Art and Emerging Paradigms -- Chapter 3. Macroscopic modeling of crowd evacuation under stress: comparing first-order and second-order models -- Chapter 4. On mathematical modeling of social crowds -- Chapter 5. Evacuation movement and behaviour of preschool children -- Chapter 6. Surveillance-guidance of crowds via Lagrangian controls -- Chapter 7. Recent Deep Learning in Crowd Behaviour Analysis: A Brief Review. 330 $aThis contributed volume explores innovative research in the modeling, simulation, and control of crowd dynamics. Chapter authors approach the topic from the perspectives of mathematics, physics, engineering, and psychology, providing a comprehensive overview of the work carried out in this challenging interdisciplinary research field. The volume begins by focusing on modeling at the macroscopic and microscopic scales, with chapters demonstrating how stress conditions evolve in time and space and influence pedestrian dynamics, particularly regarding high density patterns. Different aspects of behavioral dynamics are considered in the following chapters, which explore how mathematical models can incorporate parameters that capture shifts in people?s mental states. The final two chapters go beyond the usual modeling-based assumptions, discussing how control problems can be developed using drones to guide crowds and methods for interpreting crowd behavior using artificial intelligence, respectively. Crowd Dynamics, Volume 5 is ideal for mathematicians, engineers, physicists, and other researchers working in the rapidly growing field of modeling and simulation of human crowds. 410 0$aModeling and Simulation in Science, Engineering and Technology,$x2164-3725 606 $aMathematical models 606 $aMathematics$xData processing 606 $aDifferential equations 606 $aMathematical Modeling and Industrial Mathematics 606 $aComputational Science and Engineering 606 $aDifferential Equations 615 0$aMathematical models. 615 0$aMathematics$xData processing. 615 0$aDifferential equations. 615 14$aMathematical Modeling and Industrial Mathematics. 615 24$aComputational Science and Engineering. 615 24$aDifferential Equations. 676 $a003.3 700 $aGibelli$b Livio$01460772 701 $aGibelli$01885350 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911049111703321 996 $aCrowd Dynamics, Volume 5$94520552 997 $aUNINA