Pedestrian Behavior: Models, Data Collection and ApplicationsHarry Timmermans Emerald Group Publishing, 19 de nov. de 2009 - 360 páginas Studies of pedestrian behaviour have recently gained a lot of attention in a variety of disciplines, including urban planning, transportation, civil engineering, computer science/artificial intelligence and applied physics. Various kinds of models for simulating pedestrian behaviour have been suggested. Moreover, new technologies have been used to collect data about pedestrian movement patterns. The aim of this book is to document these new developments in research and modelling approaches. In this book, leading scholars representing different modelling approaches and fields of application have written chapters about the analysis and modelling of pedestrian movement patterns. Modelling approaches include cellular automata models, fluid dynamics, discrete choice models, rule-based models, multi-agent models and models of bounded rationality. The chapters illustrate that these model can be successfully used to simulate phenomena such as lane formation, crowding, activity-patterns, path decisions, micro-behaviour, impulse buying and store choice behaviour. Finally, the book contains some interesting application of this body of research. These chapters and paragraphs demonstrate the applied potential of models of pedestrian behaviour. |
Conteúdo
Chapter 1 Pedestrians Choices | 1 |
Chapter 2 Empirical Results for Pedestrian Dynamics and their Implications for Cellular Automata Models | 27 |
Chapter 3 Modeling Simulating and Visualizing Crowd Dynamics with Computational Tools Based on Situated Cellular Agents | 45 |
Chapter 4 Modeling Impulse and NonImpulse Store Choice Processes in a MultiAgent Simulation of Pedestrian Activity in Shopping Environments | 63 |
Chapter 5 Modeling Pedestrian Movement in Shopping Street Segments | 87 |
Chapter 6 Simulating Pedestrian RouteChoice Behavior under Transient Traffic Conditions | 113 |
Chapter 7 Modeling and Simulating Pedestrian Shopping Behavior Based on Principles of Bounded Rationality | 137 |
Chapter 8 A Model of Time Use and Expenditure of Pedestrians in City Centers | 157 |
Chapter 9 A Novel Calibration Approach of Microscopic Pedestrian Models | 195 |
Chapter 10 Crowd Dynamics Phenomena Methodology and Simulation | 215 |
Chapter 11 The MATSim Network Flow Model for Traffic Simulation Adapted to LargeScale Emergency Egress and an Application to the Evacuatio... | 245 |
Chapter 12 Comparative Study of Pedestrian Behavior in Central Shopping Areas of East Asian Cities | 267 |
Chapter 13 The Pedestrian ItineraryPurposes Environmental Factors and Path Decisions | 283 |
An Application of Discrete Choice Models and WebBased Survey | 307 |
A Comparative Study on Various Existing Systems | 325 |
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Pedestrian Behavior: Models, Data Collection and Applications Harry Timmermans Visualização parcial - 2009 |
Termos e frases comuns
activity agent alternative Antonini approach assumed Bierlaire Borgers bottleneck bounded rationality Bovy Busan calibration cellular automata characteristics choice behavior choice model city center computational costs counting crowd dynamics Daamen decision density destination choice discrete choice distance distribution estimation evacuation dynamics evaluation exit expenditure expenditure functions factors Figure Fukuoka function fundamental diagram Helbing heuristic Hoogendoorn individual influence interactivity interaction itinerary logit model microsimulation mode choice model of pedestrian Model-A multi-agent multi-agent systems multinomial logit nodes observed parameters path patterns pavilions Pedestrian and evacuation pedestrian behavior pedestrian dynamics pedestrian flow pedestrian movement pedestrian route represent RFID route choice Schadschneider Schreckenberg segment sensors shopping areas shortest Simulating pedestrian space spatial specific Springer terminus Tianjin Timmermans tracking traffic trajectories Transportation Research Board Transportation Research Record urban Urban Planning utility variables visitors walking behavior walking environment zone