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9780754612483

Understanding Traffic Systems: Data Analysis and Presentation

by
  • ISBN13:

    9780754612483

  • ISBN10:

    0754612481

  • Format: Hardcover
  • Copyright: 2000-09-28
  • Publisher: Routledge

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Summary

This second edition of the highly successful " Understanding Traffic Systems" demonstrates techniques for examining traffic problems, through good information and processing. Issues addressed include: traffic flow, survey planning, data collection, analysis and techniques for developing and improving traffic systems.

Author Biography

Michael A. P. Taylor is Professor of Transport Planning, University of South Australia.

Table of Contents

List of figures
xv
List of tables
xxi
Preface xxv
Acknowledgements xxvii
Part A: INTRODUCTION 1(38)
Introduction and context
3(14)
Traffic impacts
5(1)
Traffic studies
5(2)
Principles of information gathering
6(1)
Important traffic parameters
7(1)
Levels of analysis
7(7)
Link level analysis
7(4)
Junction level analysis
11(1)
Area level analysis
12(1)
Relationships between link, junction and area
13(1)
Roles of the traffic analyst
14(3)
The traffic analysis process
17(22)
Information, planning and decision making
17(2)
The traffic planning and decision making process
19(6)
Data collection
21(1)
Modelling and analysis
22(2)
Appraisal of policy options
24(1)
Monitoring
24(1)
Statistics and data
25(5)
Measurement
26(1)
Continuous and discrete data
26(1)
Quantitative and qualitative data
27(1)
Stationary and time-dependent data
28(2)
Analytical tools
30(7)
Database managers
30(3)
Spreadsheets
33(1)
Statistical analysis packages
33(1)
Geographic Information Systems (GIS)
34(2)
Specialist models
36(1)
A perspective on the traffic analysis process
37(2)
Part B: BASIC TRAFFIC THEORY 39(96)
Basic traffic flow theory
41(30)
The traffic stream and its elements
41(2)
The traffic lane
42(1)
Traffic strems
42(1)
Modifying factors
43(1)
Basic relationships
43(11)
Trajectory diagram
44(2)
Speed distributions
46(3)
Average speed and volume
49(1)
Average speed and density
50(1)
Volume and density
51(1)
Ancillary characteristics
52(1)
Combining traffic streams
53(1)
Statistical modelling of traffic streams
54(9)
Discrete distributions
55(3)
Continuous distributions
58(4)
Bunching of traffic
62(1)
Vehicle interactions in traffic
63(5)
Car following
64(1)
Lane changing and overtaking
65(2)
Bunches and platoons
67(1)
Shock waves
67(1)
Applications in traffic analysis
68(3)
Theories of interrupted traffic flow
71(38)
Gap acceptance
73(6)
Gap acceptance mechanisms
74(1)
Basic results
75(2)
Multi-lane traffic flows
77(1)
Combined lanes
78(1)
Queuing and delay
79(7)
Arrival pattern
80(1)
Service mechanism
80(1)
Queue discipline
80(1)
Traffic intensity
81(1)
Derivation of simple queuing model
81(3)
Results of simple queuing theory
84(2)
Theory of traffic signal operation
86(18)
Basic parameters for signal operation
87(1)
Wardrop-Webster model
88(2)
Capacity of one movement
90(1)
Capacity of entire intersection
91(3)
Capacity analysis
94(1)
Degree of saturation
94(1)
Saturation flows
95(4)
Measures of performance
99(5)
Link congestion functions
104(5)
Theories of area-wide traffic flow
109(26)
Principles of network analysis
110(4)
Trip generation
111(1)
Trip distribution
112(1)
Trip timing
112(1)
Modal choice
112(1)
Trip assignment
113(1)
The origin-destination matrix
114(6)
Synthesis of O-D matrices from link counts
116(3)
Modelling of O-D matrices from known trip end totals
119(1)
Network flow modelling
120(4)
Assignment strategies
121(2)
Mathematical formulation of equilibrium assignment
123(1)
Area-wide traffic control
124(2)
Platoon dispersion
124(2)
Congestion
126(5)
Measuring the level of congestion
127(1)
Generalised cost of travel
128(1)
Congestion pricing
129(2)
Fuel consumption and emissions
131(1)
Exposure measures for accident analysis
132(3)
Part C: DATA CAPTURE 135(98)
Principles of survey planning and management
137(10)
Elements of the survey planning and management process
137(6)
Objectives
138(1)
Availability of existing data
138(1)
Specification of the requirement for new data
139(1)
Available resources
139(1)
Choice of survey instrument
139(1)
Design of sample
140(1)
Survey plan
140(2)
Pilot survey
142(1)
Conduct of main survey, data processing and archiving
142(1)
What constitutes a good survey instrument?
143(1)
Good practice in survey administration
144(1)
Data capture without surveys
145(2)
Experimental design and sample theory
147(16)
An introduction to experimental design
147(1)
Choice of variables
148(1)
Alternative experimental designs
149(6)
Comparison of one variable over two alternatives
149(1)
Comparison of one variable over a number of alternatives
150(3)
Analysis of situations with multiple variables
153(2)
Sampling methods
155(8)
Target population
155(1)
Definition of sampling unit
155(1)
Selection of sampling frame
156(1)
Choice of sampling method
156(3)
The basis of statistical inference
159(1)
Sampling error and bias
159(1)
Sample size determination
159(3)
Requirements for sample design
162(1)
Vehicle counting and classification surveys
163(22)
Measures of flow
163(4)
Classifications of flow
165(1)
Choice of survey technique
166(1)
Manual counting methods
167(5)
Counting methods involving video
172(3)
Automatic detection of vehicles
175(6)
Pneumatic tube detectors
175(2)
Switch tapes
177(1)
Multicore cables
178(1)
Summary on axle detectors
178(1)
Inductive loop detectors
178(2)
Magnetic imaging sensors
180(1)
Electromagnetic beams
181(1)
Automatic classification of vehicles
181(1)
Data capture without surveys
182(3)
Traffic condition data
185(26)
The need for data on traffic conditions
185(5)
Point velocities
185(1)
Vehicle headways
186(1)
Journey times and speeds
186(3)
Traffic incidents
189(1)
Methods of collecting data on spot speeds
190(5)
Manual methods
190(1)
Methods involving automatic timing
191(1)
Methods employing the Doppler effect
192(2)
Methods involving video
194(1)
Data on vehicle headways
195(2)
Instrumentation of a stretch of road
195(1)
Analysis of video
196(1)
Use of instrumented vehicles
196(1)
Data on travel times
197(10)
Registration plate matching
197(4)
Remote or indirect tracking of individual vehicles
201(1)
Input-output methods
202(1)
Moving observer methods
203(3)
The use of volunteer drivers and fleets of probe vehicles
206(1)
Data on delays
207(2)
Estimation of delay
207(1)
Direct methods of calculating delay
208(1)
Off-line use of on-line data
209(2)
Environmental impacts
211(22)
Transport fuels
212(1)
Pollutants from road transport sources
213(3)
Estimating the environmental impacts of road traffic
216(2)
Survey methods for fuel consumption and emissions
218(4)
Individual vehicle surveys
218(1)
Surveys of system-wide consumption and emissions
219(3)
Traffic noise
222(6)
Surveys of traffic noise levels
228(2)
Actual noise levels
228(1)
Community reactions
229(1)
Environmental sensitivity
230(1)
Role of the traffic analyst
230(3)
Part D: TRAFFIC STUDIES 233(86)
Intersection studies
235(24)
Tuning movement flows
235(6)
Delays and queuing
241(5)
Queuing
242(2)
Traffic delay
244(2)
Intersection delay studies
246(3)
Stopped delay
246(1)
Overall delay
247(2)
Saturation flow studies
249(7)
Headway ratio method
250(5)
Regression methods
255(1)
Gap acceptance studies
256(3)
Origin-destination and route choice studies
259(22)
Issues in O-D and route choice studies
259(2)
Problems and difficulties
259(1)
A categorisation of data sources
260(1)
Methods of obtaining O-D data
261(6)
Interviews and questionnaires
261(2)
Registration plate matching
263(2)
Use of vantage point observers or video
265(1)
Tag surveys
265(1)
Headlight surveys
265(1)
Traffic counts
266(1)
Vehicle tracking
266(1)
Methods of obtaining route choice data
267(3)
Observation of flows
267(1)
Observation of individual vehicles
268(1)
Interviews and questionnaires
268(1)
Car following studies
269(1)
The use of route choice simulators
269(1)
Analysis of registration plate data for O-D surveys
270(6)
Errors in data recording
271(1)
Spurious matchings
272(1)
Analysis of results from registration plate surveys
273(2)
Computer analysis of registration plate O-D data
275(1)
Presentation of results
276(5)
Traffic generation and parking studies
281(28)
An introduction to traffic generation and parking
281(6)
Traffic generation
281(3)
Parking
284(3)
Supply of parking and entrance facilities
287(2)
Traffic generation and parking demand surveys
289(13)
Existing information
289(2)
Interview surveys
291(3)
Observational surveys
294(8)
Summarising the requirements for parking surveys
302(1)
Models of traffic generation and parking
303(6)
Trip generation and parking rates
304(1)
Regression models
305(4)
Road safety studies
309(10)
Some definitions
311(1)
Statutory crash records
311(2)
Other sources of crash data
313(1)
Site investigations
314(1)
Conflict studies
314(2)
Driver behaviour studies
316(1)
Controlled crash tests
317(1)
Analysis of crash data
318(1)
Part E: DATA ANALYSIS AND MODELLING 319(104)
From data to information
321(32)
Tables
321(4)
Diagrams
325(13)
One-dimensional plots
325(9)
The comparison of one-dimensional data using diagrams
334(1)
Two-dimensional plots
335(3)
Multi-dimensional plots
338(7)
Interactive mapping in data analysis
338(2)
Three-dimensional data
340(1)
Three-dimensional graphics
341(1)
More than three dimensions
342(3)
Decriptive statistics
345(8)
Statistics and parameters
345(1)
Measures of central tendency
346(2)
Spread of the distribution
348(2)
Shape of the distribution
350(1)
Proportions
351(2)
Statistical analysis
353(34)
Faulty data
353(3)
What to do about data errors
354(1)
Data editing
355(1)
Hypothesis testing
356(12)
Selecting the hypothesis
357(1)
Principles in hypothesis testing
358(3)
Testing the difference in means
361(4)
Confidence limits
365(1)
Testing the difference in dispersion
366(2)
Analysis of variance
368(9)
Testing for differences
368(6)
Two-way analysis of variance
374(3)
Non-parametric tests
377(10)
The sign test for small samples
377(1)
Two matched samples
378(1)
Confidence intervals from ordinal data
379(2)
Rank order correlation
381(1)
Wilcoxon-Mann-Whitney test
382(1)
Contingency table test
383(4)
Statistical modelling
387(36)
Model development process
389(3)
Regression
392(18)
Simple regression
392(6)
Multiple linear regression
398(2)
Investigation of residuals
400(2)
Significance of regression coefficients
402(2)
Stepwise inclusion of variables
404(4)
Correlation
408(1)
Generalisation of the approach
409(1)
Maximum likelihood estimation
410(6)
The mean of a normal distribution
411(2)
The poisson process
413(1)
Normal regression
414(1)
Other applications
415(1)
Time series analysis
416(7)
Time plots
416(1)
Transformations
416(1)
Analysing series that contain a trend
417(1)
Autocorrelation
417(2)
Cross-correlation
419(1)
Probabilistic models of time series
420(1)
An example of time series analysis
421(2)
Appendix A: Statistical tables 423(8)
Appendix B: Database of vehicle speeds on residential streets 431(4)
References 435(10)
Index 445

Supplemental Materials

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The New copy of this book will include any supplemental materials advertised. Please check the title of the book to determine if it should include any access cards, study guides, lab manuals, CDs, etc.

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