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Behavioural Modelling and Simulation of Bicycle Traffic.

EBSCOhost Academic eBook Collection (North America) Available online

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Format:
Book
Author/Creator:
Huang, Ling.
Contributor:
Wu, Jianping.
Series:
Transportation
Language:
English
Subjects (All):
Computer simulation.
Physical Description:
1 online resource (376 pages)
Edition:
1st ed.
Place of Publication:
Stevenage : Institution of Engineering & Technology, 2021.
Summary:
Offering systematic analysis of the movements and behaviours of bicycles and their riders, this book examines data collection and evaluation approaches and then goes on to develop a framework for the theory and modelling of bike traffic. Coverage includes verification techniques, and a chapter on riding characteristics for context.
Contents:
Intro
Contents
About the authors
1. Section bicycle individual riding characteristics
1.1 Concepts of bicycle traffic
1.2 Overview of bicycle microscopic riding characteristics
1.3 Overview of bicycle traffic in various countries
1.4 Bicycle traffic features in comparison to other transport means
1.5 The main content of this book
References
2. Microscopic bicycle microscopic riding characteristics
2.1 Cyclists' psychological characteristics
2.2 Static and dynamic measurements
2.3 S-shaped trajectory
2.4 Speed characteristics
2.5 Braking characteristics
2.6 Turning characteristics
3. Bicycle microscopic behavioral characteristics at signalized intersections
3.1 Field data collection
3.2 Micro behavior data extraction
3.3 Micro behavioral data analysis basis
3.4 Analysis of speed data
3.5 Time-related behavior data
3.6 Acceleration data analysis
3.7 Density data analysis
3.8 Summary
Reference
4. Cyclists' crossing behavior model at signalized intersection
4.1 Introduction
4.2 Gap acceptance choice behavior model
4.3 Lag acceptance choice behavior model
4.4 Summary
5. Bicycle microscopic behavior analysis patterns
5.1 General pattern of behavior analysis
5.2 Human behavior characteristics
5.3 Behavior analysis patterns in psychology and sociology
5.4 Behavior analysis patterns in economics
5.5 Behavior analysis patterns in traffic engineering
5.6 Summary
6. Analysis of bicycle microscopic behavior at un-signalized intersections
6.1 Description and definition of the problem
6.2 Building a theoretical analysis framework
6.3 Tactical-level model support theory-expected utility theory of decision analysis
6.4 Operational-level model support theory-Social Force model
6.5 Summary.
References
7. Microscopic behavior model of bicycle crossing un-signalized intersections
7.1 Normative cyclist behavior theory and model
7.2 Microscopic behavior modeling of bicycle crossing un-signalized intersections
7.3 Summary
8. Empirical analysis of bicycle microscopic behavior model
8.1 Field data collection
8.2 Data collection and preprocessing
8.3 Data reliability analysis
8.4 Path planning model parameter identification
8.5 Dynamic riding model parameter identification
8.6 Summary
Appendix A: Questionnaire group analysis statistics
A.1 Comparison of investigator sample groups
A.2 Group analysis of the questionnaire influencing factors
9. Confirmation of validity of bicycle microscopic behavior model
9.1 Model validation method
9.2 Model validity analysis
9.3 Summary
10. Neural network-based bicycle collision avoidance behavioral model at un-signalized intersections
10.1 Introduction to artificial neural networks (ANNs)
10.2 How BP neural network works
10.3 Modeling of bicycle conflict-avoidance behavior based on NN
10.4 The bicycle conflict avoidance model based on BPNN
10.5 Model simulation and verification
10.6 Summary
Index.
Notes:
Description based on publisher supplied metadata and other sources.
ISBN:
1-83724-592-4
1-78561-952-7
OCLC:
1264471272

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