Traffic and Granular Flow '22

ISBN-13: 9789819979752 / Angielski

K. Ramachandra Rao; Armin Seyfried; Andreas Schadschneider

Spis treści

Collective traffic of agents that remember

“Nudging” crowds: When it works, when it doesn’t and why

Revisiting the theoretical basis of agent-based models for pedestrian dynamics

An emergency evacuation model for avoiding high nuclide concentration areas in nuclear accident

Shoulder rotation measurement in camera and 3D motion capturing data

Methods of density estimation for pedestrians moving in small groups without a spatial boundary

A review of entropy-based studies on crowd behavior and risk analysis

Understanding the difference in social group behaviour of a spiritually motivated crowd and a general crowd

Mass evacuation planning based on mean field games theory

Experimental study of bidirectional pedestrian flow in a corridor with certain height constraint

Crowd Dynamics of a Rural Group in a Mass Religious Gathering: A Case Study of Kumbh Mela - 2016, India

Modeling of obstacle avoidance by a dense crowd as a Mean-Field Game

Two types of bottlenecks in leisure facilities: bottlenecks caused by attractiveness and structural layout

Face-validation of a route-choice module in a crowd simulator for confined indoor spaces in context of the COVID-19 pandemic

On the Influence of Group Social Interaction on Intrusive Behaviours

Sound Guidance on Evacuation under Limited Visibility: an Experimental Study

Pedestrian Kernel Density Estimates: the Individual Approach

Density dependence of stripe formation in a cross-flow

Estimation of pedestrian crossing intentions in in-vehicle video

Particle method for macroscopic model of coupled pedestrian and vehicular traffic flow

Study of emergency exit choice behaviour at metro stations in fire evacuation

A Non-linear Pedestrian Tracker Using Velocity-adaptive Particle Filter With Trajectory Analysis

Wheelchair and phone use during single file pedestrian movement

Modelling pedestrian collective dynamics with port-Hamiltonian systems

Experimental study of pedestrian crossing mechanism in crowds

Public-space sonification for pedestrian trajectory nudging

How do Retail Stores Affect Pedestrian Walking Speed: An Empirical Observation

A psychological approach to understanding microscopic and macroscopic structures during train boarding processes

Empirical comparison of different pedestrian trajectory prediction methods at high densities

Reusable software structures for coupling agent-based locomotion models and disease transmission models

A closed network of RNA polymerase flow models for analyzing intracellular transport

Modified version of open TASEP with dynamic defects

Oscillation growth in mixed traffic flow of human driven vehicles and automated vehicles: Experimental study and simulation

Modelling the Influence of Amber Light Dilemma Zone on Driver Behaviour Under Mixed Traffic Conditions

Optimal Design of Battery, Charging Infrastructure Planning, and Charging Scheduling for Electric Bus Network

The Impact of Vehicular Heterogeneity on the Rear-end Crash Risk in Mixed Traffic: An Extreme Value Approach

A Comprehensive Review of Car-Following Models: Heterogeneous Non-Lane-Based Traffic Viewpoint

Travel path tracking using smartphone inertial sensors: an experimental study on an academic campus road network

The intelligent agent model – a fully two-dimensional microscopic traffic flow model

Modelling Impact of Lateral Behaviour of Successive Vehicles on Traffic Safety for Regular and Work-Zone Roads

Stochastic Optimal Velocity Model With Two Vehicle Control Methods

Machine Learning Approach for Modeling the Lateral Movement Decisions of Vehicles in Heterogeneous Traffic Conditions

Exploratory data analysis of lateral clearance between vehicles at signalized intersection with weak lane discipline

Two-Dimensional Following Behavior Analysis of Powered Two-Wheelers using Copula Approach

Analysis of traffic jerk effect in a new lattice model with density-dependent passing

Analyzing the operational performance of mixed traffic comprising autonomous and human-driven vehicles at varying penetration rates on Indian urban arterials

A jam-absorption driving system based on moving jam propagation speed estimation with camera sensors

Fuzzy Logic based Automation of the Extraction of Surrogate Safety Measures and the Creation of Severity Classification using Video Data

A Graphical Tool for Planning and Real-Time Operation of Freight Trains

Approaches for Modelling Travel Time Uncertainty

An investigation of traffic speed distributions for uninterrupted flow at blackspot locations in a mixed traffic environment

Data-Driven Prediction for Red-Light-Running at a T-Junction

Prototype models for predicting vehicle types generated in heterogeneous traffic simulation

Non-Poissonian cellular automaton models for vehicular traffic

Estimation of Travel Time Reliability Using Wi-Fi Detections on an Urban Arterial Road

Dimensionality Reduction and Machine Learning-based Crash Severity Prediction using Surrogate Safety Measures

Mean field games modeling for dynamic traffic assignment with information

Development and Field Validation of Nonlocal Velocity based Macroscopic Traffic Model

Connected and Autonomous Vehicle’s Behavior in Heterogenous Disordered Traffic in Metropolitan Cities

Synergy of Model-driven and Data-driven Approaches in a Dynamic Network Loading Problem

Sensor Data Analysis by means of Clustering

Delay Modelling at Signalized Intersection Under Mixed Traffic Conditions

O autorze

K. Ramachandra Rao is currently Professor and MoUD Chair in the Department of Civil Engineering at the Indian Institute of Technology Delhi, India. He is presently the Head of Transportation Research and Injury Prevention Centre (TRIP Centre), IIT Delhi. He holds a Ph.D. in Civil Engineering (Transportation Engineering) from IIT Kharagpur. He has a masters’ degree in Transportation Engineering from NIT Warangal and a bachelor’s degree in civil engineering from Andhra University (GITAM, Visakhapatnam). His research interests are in traffic dynamics, pedestrian dynamics, public transportation systems planning, road safety, and urban freight logistics. He is widely published in peer-reviewed journals and conferences. He has co-authored the book (Highway Material Testing and Quality Control, I.K. Publishers, 2017). He has advised many Ph.D. and master’s students at IIT Delhi. He is involved in projects and consulting related to pedestrian evacuations, traffic dynamics, and road safety. He is on the scientific committee of the international conference series traffic and granular flow and pedestrian and evacuation dynamics.

Andreas Schadschneider is currently Professor in Theoretical Physics at University of Cologne, Germany, since 2006. He has a diploma and Ph.D. in Physics from University of Cologne. His research interests are pedestrian dynamics, nonequilibrium physics, vehicular traffic, biological transport, physics education. He is very widely published (more than 150 journal articles) and is currently Member of Editorial Board: Int. J. Mod. Physics C, J. Stat. Mech., Physica A (Main Editor), Collective Dynamics (Editor-in-Chief). He is Member of the steering committee of the international conference series ‘Pedestrian and Evacuation Dynamics’ and ‘Traffic and Granular Flow’. Besides editing several conference procedia, he has authored A. Schadschneider, D. Chowdhury and K. Nishinari: Stochastic Transport in Complex Systems: From Molecules to Vehicles, Elsevier (2010). He has advised many Ph.D. and master’s students besides engaging in several research projects.

 

Armin Seyfried is currently Director of the Institute of Advanced Simulation: Civil Safety Research (IAS-7), Forschungszentrum Jülich. In the same time, he holds Chair of ‘Computer Simulations for Fire Safety and Pedestrian Traffic’, University of Wuppertal, Germany. His research interests are in the fields of pedestrian dynamics, nonequilibrium systems, traffic engineering, and fire safety engineering. He is widely known for his seminal work in the field of pedestrian dynamics and is on the Editorial Board Collective Dynamics (Founder Editor-in-Chief). He has offered a full course on ‘Pedestrian Dynamics: Empirics and modelling’ at IIT Delhi under the GIAN programme. He is Member of the steering committee of the conference series ‘Pedestrian and Evacuation Dynamics’ and ‘Traffic and Granular Flow’ and has been Co-editor of the proceedings, Traffic and Granular Flow '13, Springer (2015). He has advised many Ph.D. and master’s students at University of Wuppertal besides engaging in several research projects.

Blurb

This book gathers contributions on a variety of flowing collective systems. While primarily focusing on pedestrian dynamics, it also reflects the latest developments in areas such as vehicular traffic and granular flows and addresses related emerging topics such as self-propelled particles, data transport, swarm behaviour, intercellular transport, and individual interactions to complex systems. Combining fundamental research and practical applications in the various fields discussed, the book offers a valuable asset for researchers and professionals in areas such as civil and transportation engineering, mechanical engineering, electrical engineering, physics, computer science, and mathematics.