The document is a report analyzing vehicle speed and classification data collected from a traffic counter. It includes a class speed matrix showing the number of vehicles in each class that fell within different speed bins. It also includes bin charts that break down the percentages of total vehicles in each class and speed bin. The majority of vehicles traveled between 50-60 km/h and were passenger vehicles (class 1), with over 99% of detected vehicles classified.
- The document discusses sample size calculation and randomization for clinical trials.
- Key factors in determining sample size include the main outcome measure, the test used for analysis, anticipated results with standard treatment, and the minimum clinically important treatment difference.
- Formulas are provided to calculate sample size for continuous and binary outcome variables based on significance level, power, treatment difference, and variance or event rates.
- Adjustments may be needed to account for non-adherence and multiple comparisons in the clinical trial. Sample size calculations should be realistic and conservative to avoid underpowering or an unfeasible study size.
This document provides an analysis summary and data set for a multiple regression analysis conducted by a student to predict employee salary at a Bangladesh subsidiary of The Coca-Cola Company. The analysis uses data on 30 employees to predict current salary based on gender, job seniority, age, education level, work experience, and minority classification. Key findings from the regression include the model explaining 49.1% of the variance in salary, with education level having the strongest effect on increasing salary. The analysis also finds little evidence of heteroskedasticity or autocorrelation problems.
Deutsche EuroShop is Germany's only public company that solely invests in shopping centers. It owns 18 shopping centers located primarily in Germany but also in Poland, Austria, and Hungary. The company focuses on a "buy and hold" strategy to grow its net asset value and pay stable dividends over the long term. Its goals include extending its property portfolio by 10% annually and maintaining a focus on investments in Germany.
Deutsche EuroShop is Germany's only public company that invests solely in shopping centers. It owns 18 shopping centers located primarily in Germany but also in Poland, Austria, and Hungary. The company focuses on a "buy and hold" strategy to grow its net asset value and pay stable dividends. It aims to expand its portfolio by 10% per year through acquisitions and developing existing properties. Deutsche EuroShop's tenants include many well-known retail brands and its centers benefit from strong foot traffic and high occupancy rates.
The document presents financial ratios for Essar Steel Ltd. from March 1999 to March 2011. Some key ratios in recent years include:
- Earnings per share was negative Rs. 0.68 in March 2011, compared to Rs. 0.06 in March 2010.
- Return on equity was negative 1.72% in March 2011, compared to 0.33% in March 2010.
- Debt to equity ratio was 2.18 in March 2011, compared to 2.00 in March 2010.
- Net sales grew 15.84% in March 2011, compared to a 9.14% decline in March 2010.
The document defines a lean assessment for a manufacturing process. It includes categories like inventory, teams, processes, maintenance, layout, suppliers, setups, quality, and scheduling. For each category there are questions to rate aspects on a scale. The results of the assessment show opportunities for improvement in scheduling, layout, and quality. An analysis identifies gaps such as converting to a pull system with supermarkets and kanbans, and improving assembly productivity through cell design.
Deutsche EuroShop is Germany's only public company that invests solely in shopping centers. It owns 18 shopping centers in Germany, Poland, Austria and Hungary, with over 848,000 square meters of lettable space. Deutsche EuroShop aims for long-term growth and stable increases in portfolio value through a "buy and hold" strategy and professional property management. Key targets include long-term net asset value enhancement, stable and attractive dividends currently at a 4.2% yield, and investment-focused growth.
Deutsche EuroShop is Germany's only publicly traded company focused solely on shopping centers. It owns interests in 18 centers across Germany, Poland, Austria and Hungary, with a total lettable space of around 848,000 square meters. Deutsche EuroShop aims for long-term growth and stability through a buy-and-hold strategy of prime shopping centers with long-term leases and a diverse tenant base. The company's goals include annual portfolio growth of 10% and a stable dividend yield of around 4%.
- The document discusses sample size calculation and randomization for clinical trials.
- Key factors in determining sample size include the main outcome measure, the test used for analysis, anticipated results with standard treatment, and the minimum clinically important treatment difference.
- Formulas are provided to calculate sample size for continuous and binary outcome variables based on significance level, power, treatment difference, and variance or event rates.
- Adjustments may be needed to account for non-adherence and multiple comparisons in the clinical trial. Sample size calculations should be realistic and conservative to avoid underpowering or an unfeasible study size.
This document provides an analysis summary and data set for a multiple regression analysis conducted by a student to predict employee salary at a Bangladesh subsidiary of The Coca-Cola Company. The analysis uses data on 30 employees to predict current salary based on gender, job seniority, age, education level, work experience, and minority classification. Key findings from the regression include the model explaining 49.1% of the variance in salary, with education level having the strongest effect on increasing salary. The analysis also finds little evidence of heteroskedasticity or autocorrelation problems.
Deutsche EuroShop is Germany's only public company that solely invests in shopping centers. It owns 18 shopping centers located primarily in Germany but also in Poland, Austria, and Hungary. The company focuses on a "buy and hold" strategy to grow its net asset value and pay stable dividends over the long term. Its goals include extending its property portfolio by 10% annually and maintaining a focus on investments in Germany.
Deutsche EuroShop is Germany's only public company that invests solely in shopping centers. It owns 18 shopping centers located primarily in Germany but also in Poland, Austria, and Hungary. The company focuses on a "buy and hold" strategy to grow its net asset value and pay stable dividends. It aims to expand its portfolio by 10% per year through acquisitions and developing existing properties. Deutsche EuroShop's tenants include many well-known retail brands and its centers benefit from strong foot traffic and high occupancy rates.
The document presents financial ratios for Essar Steel Ltd. from March 1999 to March 2011. Some key ratios in recent years include:
- Earnings per share was negative Rs. 0.68 in March 2011, compared to Rs. 0.06 in March 2010.
- Return on equity was negative 1.72% in March 2011, compared to 0.33% in March 2010.
- Debt to equity ratio was 2.18 in March 2011, compared to 2.00 in March 2010.
- Net sales grew 15.84% in March 2011, compared to a 9.14% decline in March 2010.
The document defines a lean assessment for a manufacturing process. It includes categories like inventory, teams, processes, maintenance, layout, suppliers, setups, quality, and scheduling. For each category there are questions to rate aspects on a scale. The results of the assessment show opportunities for improvement in scheduling, layout, and quality. An analysis identifies gaps such as converting to a pull system with supermarkets and kanbans, and improving assembly productivity through cell design.
Deutsche EuroShop is Germany's only public company that invests solely in shopping centers. It owns 18 shopping centers in Germany, Poland, Austria and Hungary, with over 848,000 square meters of lettable space. Deutsche EuroShop aims for long-term growth and stable increases in portfolio value through a "buy and hold" strategy and professional property management. Key targets include long-term net asset value enhancement, stable and attractive dividends currently at a 4.2% yield, and investment-focused growth.
Deutsche EuroShop is Germany's only publicly traded company focused solely on shopping centers. It owns interests in 18 centers across Germany, Poland, Austria and Hungary, with a total lettable space of around 848,000 square meters. Deutsche EuroShop aims for long-term growth and stability through a buy-and-hold strategy of prime shopping centers with long-term leases and a diverse tenant base. The company's goals include annual portfolio growth of 10% and a stable dividend yield of around 4%.
This document provides guidance on best practices for selecting sites for short term traffic surveys. Key points include:
1. Site selection must prioritize safety of installers and road users. Escape routes and visibility are critical.
2. Sites should provide representative data and meet the goals of the traffic study. Straight sections without parked cars or congestion are preferred.
3. Multiple factors like road condition, geometry, and available anchor points must be considered.
4. For multi-lane sites, loggers should be placed in each lane and lanes must be uniquely numbered.
The document provides guidance on operating and installing the MetroCount 5600 Series Roadside Unit for traffic data collection. It has three states - Idle, Active Deferred, and Active Logging. Status LEDs indicate the state and sensor functionality. It communicates via RS-232 and can store up to 990,000 axle events depending on memory capacity. The main battery allows nearly a year of continuous use before replacement. Installation involves selecting sites, installing sensors appropriately for lane counting, and setting up the unit.
The document describes the MetroCount 5805 RSU, a four input vehicle counter that uses inductive loops as sensors. It has features like dedicated loop oscillators, transient protection, and dataflash storage. Accessories are available like a breakout board and DIN rail mount. The RSU is set up using MetroCount Traffic Executive software which can assign lanes and directions. The software provides tools to monitor loops and detect any faults.
The MC5740 is a new addition to the MC5700 series of RSUs designed for short-term characterization of piezo-sensor installations. It stores histograms of piezo output and sensor measurements like temperature at intervals up to 30 days. It has diagnostic tools to view piezo waveforms and sensor measurements. Settings and data are configured and accessed using MCSetup and MCSetLite software.
The document discusses the benefits of meditation for reducing stress and anxiety. Regular meditation practice can help calm the mind and body by lowering heart rate and blood pressure. Making meditation a part of a daily routine, even if just 10-15 minutes per day, can offer improvements to mood, focus, and overall feelings of well-being over time.
The MetroCount 5810 is a vehicle classifier that uses inductive loops in the road to detect passing vehicles and classify them by length. It provides accurate counts of vehicle volume, speed, and length. It stores up to 250,000 vehicle records and has a battery life of up to 6 months for standalone use. Software is included to analyze the data and check that the system is operating correctly.
The MetroCount 5710 is a four-input roadside unit that can be used for portable or permanent traffic monitoring applications. It has two channels that can be configured to timestamp vehicle data or provide binned counts. It supports various sensor types and integrates with MetroCount's Traffic Executive software for configuration and data analysis.
La nueva versión de Traffic Executive y MetroCount ahora tienen soporte para múltiples idiomas a través de tablas de idioma. El software permite realizar estudios en el campo, generar informes y analizar datos en diferentes idiomas sin necesidad de traducción. El único requisito es contar con la tabla de idioma correspondiente.
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise causes chemical changes in the brain that may help boost feelings of calmness, happiness and focus.
MetroCount provides traffic monitoring systems including portable traffic classifiers and roadside units. Their systems use axle sensors spaced at a known distance to detect vehicle axles and calculate speed, classification, and volume. Data can be processed after collection using software to generate detailed reports on traffic patterns and flows. MetroCount has established itself as a leader in the traffic monitoring industry with over 30 years of experience and an international customer base.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
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• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
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* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
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This document provides guidance on best practices for selecting sites for short term traffic surveys. Key points include:
1. Site selection must prioritize safety of installers and road users. Escape routes and visibility are critical.
2. Sites should provide representative data and meet the goals of the traffic study. Straight sections without parked cars or congestion are preferred.
3. Multiple factors like road condition, geometry, and available anchor points must be considered.
4. For multi-lane sites, loggers should be placed in each lane and lanes must be uniquely numbered.
The document provides guidance on operating and installing the MetroCount 5600 Series Roadside Unit for traffic data collection. It has three states - Idle, Active Deferred, and Active Logging. Status LEDs indicate the state and sensor functionality. It communicates via RS-232 and can store up to 990,000 axle events depending on memory capacity. The main battery allows nearly a year of continuous use before replacement. Installation involves selecting sites, installing sensors appropriately for lane counting, and setting up the unit.
The document describes the MetroCount 5805 RSU, a four input vehicle counter that uses inductive loops as sensors. It has features like dedicated loop oscillators, transient protection, and dataflash storage. Accessories are available like a breakout board and DIN rail mount. The RSU is set up using MetroCount Traffic Executive software which can assign lanes and directions. The software provides tools to monitor loops and detect any faults.
The MC5740 is a new addition to the MC5700 series of RSUs designed for short-term characterization of piezo-sensor installations. It stores histograms of piezo output and sensor measurements like temperature at intervals up to 30 days. It has diagnostic tools to view piezo waveforms and sensor measurements. Settings and data are configured and accessed using MCSetup and MCSetLite software.
The document discusses the benefits of meditation for reducing stress and anxiety. Regular meditation practice can help calm the mind and body by lowering heart rate and blood pressure. Making meditation a part of a daily routine, even if just 10-15 minutes per day, can offer improvements to mood, focus, and overall feelings of well-being over time.
The MetroCount 5810 is a vehicle classifier that uses inductive loops in the road to detect passing vehicles and classify them by length. It provides accurate counts of vehicle volume, speed, and length. It stores up to 250,000 vehicle records and has a battery life of up to 6 months for standalone use. Software is included to analyze the data and check that the system is operating correctly.
The MetroCount 5710 is a four-input roadside unit that can be used for portable or permanent traffic monitoring applications. It has two channels that can be configured to timestamp vehicle data or provide binned counts. It supports various sensor types and integrates with MetroCount's Traffic Executive software for configuration and data analysis.
La nueva versión de Traffic Executive y MetroCount ahora tienen soporte para múltiples idiomas a través de tablas de idioma. El software permite realizar estudios en el campo, generar informes y analizar datos en diferentes idiomas sin necesidad de traducción. El único requisito es contar con la tabla de idioma correspondiente.
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise causes chemical changes in the brain that may help boost feelings of calmness, happiness and focus.
MetroCount provides traffic monitoring systems including portable traffic classifiers and roadside units. Their systems use axle sensors spaced at a known distance to detect vehicle axles and calculate speed, classification, and volume. Data can be processed after collection using software to generate detailed reports on traffic patterns and flows. MetroCount has established itself as a leader in the traffic monitoring industry with over 30 years of experience and an international customer base.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
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This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
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• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
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This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
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Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
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* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
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See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
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1. Report by vehicle class and
speed
Prepared by Seth Siedna using MetroCount MTE
software v3.21
2. Table of contents
1. Overview
1.1 Scope
2. Class Speed Matrix
3. Bin Charts
4. Individual Vehicles
5. Weekly Vehicle Counts
6. Speed Separation Matrix
3. 1. Overview
The purpose of this report is to show how MetroCount MTE software v3.2 can be used to chart raw axle
event data to show the breakdown of speed vs vehicle classification and which particular classes are
more likely to exceed the posted speed limit (PSL). All charts are based on the same raw data
(Description = R99 PONTYPOOL, NEW INN, THE HIGHWAY, S OF LODGE WOOD <40mph>) using the Class
Speed Matrix, Class Bin chart and many Speed Bin charts with the Austroads94 Vehicle Classification
Scheme being used. See
http://www.transport.sa.gov.au/transport_network/facts_figures/traffic_pdfs/austroads_classes.pdf
for vehicle classification details.
1.1 Scope
As this is a sample report to highlight just one of many report types that can be generated with the
MetroCount Traffic Executive v3.2 1(MTE) software no recommendations or solutions are entered into.
4. 2. Class Speed Matrix
The first part of this report uses the Class Speed Matrix to show total number of events with Classes 0
and 13 being included. In the bottom right of the chart shows the total number of vehicle events, that
being 82121; of this number only 114 are Class 0 (Unclassifiable Axle Event) and 17 are Class 13
(Unclassifiable Vehicle). The remaining 81990 vehicles are classified according to the AustRoads 94
classification scheme, giving the traffic count survey an overall accuracy of 99.1%.
ClassMatrix-85
Site: 00991.0.0SN
Description: R99 PONTYPOOL, NEW INN, THE HIGHWAY, S OF LODGE WOOD <40mph>
Filter time: 15:00 Friday, 27 February 1998 => 11:09 Wednesday, 11 March 1998
Scheme: Vehicle classification (AustRoads94)
Filter: Cls(0 1 2 3 4 5 6 7 8 9 10 11 12 13 ) Dir(NESW) Sp(10,160) Headway(>0)
Speed (km/h) Speed Totals
| __________________________________________________________________________________________________ |
| Class |
| 0 1 2 3 4 5 6 7 8 9 10 11 12 13 |
10 - 20 | 19 419 1 24 1 1 2 . . . . . . 4| 471 0.6%
20 - 30 | 20 445 1 113 1 2 2 1 . . . . . 1| 586 0.7%
30 - 40 | 21 831 21 118 14 9 3 3 4 1 . . . 2| 1027 1.3%
40 - 50 | 9 11215 169 942 39 36 5 13 5 16 . 1 . 4| 12454 15.2%
50 - 60 | 13 36824 261 1934 47 14 13 7 5 5 . . . 5| 39128 47.6%
60 - 70 | 10 22610 95 837 10 9 5 1 3 1 . . . .| 23581 28.7%
70 - 80 | 10 4107 16 148 1 . . 1 1 . . . . 1| 4285 5.2%
80 - 90 | 6 491 2 10 1 . . . . . . . . .| 510 0.6%
90 - 100 | . 60 . . . . . . . . . . . .| 60 0.1%
100 - 110 | 2 12 . . . . . . . . . . . .| 14 0.0%
110 - 120 | 1 1 . . . . . . . . . . . .| 2 0.0%
120 - 130 | 2 . . . . . . . . . . . . .| 2 0.0%
130 - 140 | . . . . . . . . . . . . . .| 0 0.0%
140 - 150 | . . . . . . . . . . . . . .| 0 0.0%
150 - 160 | 1 . . . . . . . . . . . . .| 1 0.0%
|__________________________________________________________________________________________________|______________
| 114 77015 566 4126 114 71 30 26 18 23 0 1 0 17| 82121
| 0.1% 93.8% 0.7% 5.0% 0.1% 0.1% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.0%|
Class Totals
Table 1. Class Speed Matrix (All classes)
5. 3. Bin Charts
The second part of this report uses the Class Bin Chart to give a breakdown of total vehicles by their
classification type (Figure 1).
Note: Classes 0 and 13 are included.
Class Bin Chart
ClassBin-48 (Metric) Site:00991.0.0SN
Description: R99 PONTYPOOL, NEW INN, THE HIGHWAY, S OF LODGE WOOD <40mph>
Filter time: 15:00 Friday, February 27, 1998 => 11:09 Wednesday, March 11, 1998
Filter: Cls(0 1 2 3 4 5 6 7 8 9 10 11 12 13 ) Dir(NESW) Sp(10,160) Headway(>0)
Scheme: Vehicle classification (AustRoads94)
Total=82121
Class = 3 Class = 0
5.0% (4126.0) 0.1% (114.0)
Class = 11
0.0% (1.0)
Class = 9
0.0% (23.0)
Class = 8
0.0% (18.0)
Class = 4
0.1% (114.0)
Class = 5
0.1% (71.0)
Class = 6
0.0% (30.0)
Class = 7
0.0% (26.0)
Class = 13
0.0% (17.0)
Class = 2 Class = 1
0.7% (566.0) 93.8% (77015.0)
Figure 1. Breakdown percentages of vehicle classes
6. All speed events in the range from 10km/h to 160km/h are charted using the Speed Bin Chart shown
across all vehicle classes as per figure 2. It can be seen that the majority of all vehicles travelled at 50-
60km/h (47.7%) and that over a quarter travelled at 60-70km/h (28.7%).
Note: Classes 0 and 13 are not included.
Speed Bin Chart
SpeedBin-33 (Metric) Site:00991.0.0SN
Description: R99 PONTYPOOL, NEW INN, THE HIGHWAY, S OF LODGE WOOD <40mph>
Filter time: 15:00 Friday, February 27, 1998 => 11:09 Wednesday, March 11, 1998
Filter: Cls(1 2 3 4 5 6 7 8 9 10 11 12 ) Dir(NESW) Sp(10,160) Headway(>0)
Scheme: Vehicle classification (AustRoads94)
Total=81990
80 - 90 10 - 20
0.6% (504.0) 0.5% (448.0)
20 - 30
0.7% (565.0)
100 - 110
0.0% (12.0)
90 - 100
0.1% (60.0)
70 - 80
5.2% (4274.0)
110 - 120
0.0% (1.0)
30 - 40
1.2% (1004.0)
40 - 50
15.2% (12441.0)
60 - 70 50 - 60
28.7% (23571.0) 47.7% (39110.0)
Figure 2 with vehicle classes 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12
7. The Speed Bin Chart is used again with all other classes filtered out except class 1 (Short Vehicle), which
represents the majority of recorded vehicles (93.8%) (Figure 1). By comparing this with the chart at
Figure 2 it can be seen that the highest vehicle speeds were generated by class1 (Figure 3), this being 90-
100km/h, 100-110km/h and 110-120km/h with the majority (47.8%) travelling within the 50-60km/h
range.
Speed Bin Chart
SpeedBin-31 (Metric) Site:00991.0.0SN
Description: R99 PONTYPOOL, NEW INN, THE HIGHWAY, S OF LODGE WOOD <40mph>
Filter time: 15:00 Friday, February 27, 1998 => 11:09 Wednesday, March 11, 1998
Filter: Cls(1 ) Dir(NESW) Sp(10,160) Headway(>0)
Scheme: Vehicle classification (AustRoads94)
Total=77015
80 - 90 10 - 20
0.6% (491.0) 0.5% (419.0)
20 - 30
0.6% (445.0)
30 - 40
1.1% (831.0)
100 - 110
0.0% (12.0)
70 - 80
5.3% (4107.0)
90 - 100
0.1% (60.0)
110 - 120
0.0% (1.0)
40 - 50
14.6% (11215.0)
60 - 70 50 - 60
29.4% (22610.0) 47.8% (36824.0)
Figure 3 with vehicle class 1 (Short Vehicle)
8. Class 2 (Short Vehicle Towing), which represents 0.7% of total vehicles (Figure 1), shows that the
majority of vehicles travelled at a speed from 40km/h to 60km/h (76%) with only 16.8%, 2.8% and 0.4%
travelling at no more than 60-70km/h, 70-80km/h and 80-90km/h respectively (Figure 4).
Speed Bin Chart
SpeedBin-34 (Metric) Site:00991.0.0SN
Description: R99 PONTYPOOL, NEW INN, THE HIGHWAY, S OF LODGE WOOD <40mph>
Filter time: 15:00 Friday, February 27, 1998 => 11:09 Wednesday, March 11, 1998
Filter: Cls(2 ) Dir(NESW) Sp(10,160) Headway(>0)
Scheme: Vehicle classification (AustRoads94)
Total=566
70 - 80 20 - 30
2.8% (16.0) 0.2% (1.0)
80 - 90
0.4% (2.0)
60 - 70 10 - 20
16.8% (95.0) 0.2% (1.0)
30 - 40
3.7% (21.0)
50 - 60 40 - 50
46.1% (261.0) 29.9% (169.0)
Figure 4 with vehicle class 2 (Short Vehicle Towing)
9. Class 3 which consists of Two Axle Trucks or Buses makes up only 5% of total traffic (Figure 1), but in
comparison is 4.3% larger than class 2 (Figure 1). Even though 0.2% of these vehicles travelled at 80-
90km/h this still represented a larger amount travelling at this speed, 10x class 3 vehicles (Figure 5)
versus 2x class 2 vehicles (0.4%) (Figure 4). Just under half (46.9%) travelled at 50-60km/h.
Speed Bin Chart
SpeedBin-35 (Metric) Site:00991.0.0SN
Description: R99 PONTYPOOL, NEW INN, THE HIGHWAY, S OF LODGE WOOD <40mph>
Filter time: 15:00 Friday, February 27, 1998 => 11:09 Wednesday, March 11, 1998
Filter: Cls(3 ) Dir(NESW) Sp(10,160) Headway(>0)
Scheme: Vehicle classification (AustRoads94)
Total=4126
70 - 80 80 - 90
3.6% (148.0) 0.2% (10.0)
10 - 20
0.6% (24.0)
60 - 70 30 - 40
20.3% (837.0) 2.9% (118.0)
20 - 30
2.7% (113.0)
50 - 60 40 - 50
46.9% (1934.0) 22.8% (942.0)
Figure 5 with vehicle class 3 (Two Axle Truck or Bus)
10. Class 4 consists of Three Axle Trucks or Buses and represents 0.1% of total vehicles (Figure 1). The
fastest recorded vehicle travelled at 80-90km/h which equaled just 1x class 4 vehicles (Figure 6). In total,
only 12x class 4 vehicles travelled at 60km/h or greater and 90km/h or less with the majority (41.2%)
travelling at 50-60km/h.
Speed Bin Chart
SpeedBin-37 (Metric) Site:00991.0.0SN
Description: R99 PONTYPOOL, NEW INN, THE HIGHWAY, S OF LODGE WOOD <40mph>
Filter time: 15:00 Friday, February 27, 1998 => 11:09 Wednesday, March 11, 1998
Filter: Cls(4 ) Dir(NESW) Sp(10,160) Headway(>0)
Scheme: Vehicle classification (AustRoads94)
Total=114
70 - 80 20 - 30
0.9% (1.0) 0.9% (1.0)
80 - 90 10 - 20
0.9% (1.0) 0.9% (1.0)
60 - 70 30 - 40
8.8% (10.0) 12.3% (14.0)
50 - 60 40 - 50
41.2% (47.0) 34.2% (39.0)
Figure 6 with vehicle class 4 (Three Axle Truck or Bus)
11. Class 5 vehicles consists of Four Axle Trucks, this represents 0.1% of total vehicles (Figure 1). 70.4% of
this class vehicle travelled within 40-60km/h with 12.7% travelling at a maximum of 60-70km/h (Figure
7).
Speed Bin Chart
SpeedBin-36 (Metric) Site:00991.0.0SN
Description: R99 PONTYPOOL, NEW INN, THE HIGHWAY, S OF LODGE WOOD <40mph>
Filter time: 15:00 Friday, February 27, 1998 => 11:09 Wednesday, March 11, 1998
Filter: Cls(5 ) Dir(NESW) Sp(10,160) Headway(>0)
Scheme: Vehicle classification (AustRoads94)
Total=71
60 - 70 10 - 20
12.7% (9.0) 1.4% (1.0)
20 - 30
2.8% (2.0)
30 - 40
12.7% (9.0)
50 - 60 40 - 50
19.7% (14.0) 50.7% (36.0)
Figure 7 with vehicle class 5 (Four Axle Truck)
12. Class 6 consists of Three Axle Articulated vehicles and represents just 30 recorded vehicle events (Figure
1) with 43.3% travelling at 50-60km/h and 16.7% travelling at 60-70km/h (Figure 8).
Speed Bin Chart
SpeedBin-30 (Metric) Site:00991.0.0SN
Description: R99 PONTYPOOL, NEW INN, THE HIGHWAY, S OF LODGE WOOD <40mph>
Filter time: 15:00 Friday, February 27, 1998 => 11:09 Wednesday, March 11, 1998
Filter: Cls(6 ) Dir(NESW) Sp(10,160) Headway(>0)
Scheme: Vehicle classification (AustRoads94)
Total=30
60 - 70 10 - 20
16.7% (5.0) 6.7% (2.0)
20 - 30
6.7% (2.0)
30 - 40
10.0% (3.0)
50 - 60 40 - 50
43.3% (13.0) 16.7% (5.0)
Figure 8 with vehicle class 6 (Three Axle Articulated)
13. Class 7 consists of Four Axle Articulated vehicles and represents only 26 recorded vehicle events of
which exactly 50% travelled at 40-50km/h and 26.9% travelled at 50-60km/h (Figure 9), in comparison
class 6 recorded 16.7% and 43.3% for the same speed ranges (Figure 8).
Speed Bin Chart
SpeedBin-38 (Metric) Site:00991.0.0SN
Description: R99 PONTYPOOL, NEW INN, THE HIGHWAY, S OF LODGE WOOD <40mph>
Filter time: 15:00 Friday, February 27, 1998 => 11:09 Wednesday, March 11, 1998
Filter: Cls(7 ) Dir(NESW) Sp(10,160) Headway(>0)
Scheme: Vehicle classification (AustRoads94)
Total=26
70 - 80 20 - 30
3.8% (1.0) 3.8% (1.0)
60 - 70 30 - 40
3.8% (1.0) 11.5% (3.0)
50 - 60 40 - 50
26.9% (7.0) 50.0% (13.0)
Figure 9 with class 7 (Four Axle Articulated)
14. Class 8 consists of Five Axle Articulated vehicles with just 18 recorded vehicle events (Figure 10), 27.8%
travelled at both 40-50km/h and 50-60km/h with 1 recorded vehicle event being in the 70-80km/h
range. The next highest percentage after the 40-50km/h and 50/60km/h range was the 30-40 km/h
range with 22.2%.
Speed Bin Chart
SpeedBin-39 (Metric) Site:00991.0.0SN
Description: R99 PONTYPOOL, NEW INN, THE HIGHWAY, S OF LODGE WOOD <40mph>
Filter time: 15:00 Friday, February 27, 1998 => 11:09 Wednesday, March 11, 1998
Filter: Cls(8 ) Dir(NESW) Sp(10,160) Headway(>0)
Scheme: Vehicle classification (AustRoads94)
Total=18
70 - 80 30 - 40
5.6% (1.0) 22.2% (4.0)
60 - 70
16.7% (3.0)
50 - 60 40 - 50
27.8% (5.0) 27.8% (5.0)
Figure 10 with class 8 (Five Axle Articulated)
15. Class 9 which consists of Six Axle Articulated vehicles had a majority of recorded vehicle events (69.6%)
in the 40-50km/h range; this is the largest percentage value for this range across all of the classes, with
only 1 event recorded in the 60-70km/h range (Figure 11).
Speed Bin Chart
SpeedBin-40 (Metric) Site:00991.0.0SN
Description: R99 PONTYPOOL, NEW INN, THE HIGHWAY, S OF LODGE WOOD <40mph>
Filter time: 15:00 Friday, February 27, 1998 => 11:09 Wednesday, March 11, 1998
Filter: Cls(9 ) Dir(NESW) Sp(10,160) Headway(>0)
Scheme: Vehicle classification (AustRoads94)
Total=23
60 - 70 30 - 40
4.3% (1.0) 4.3% (1.0)
50 - 60 40 - 50
21.7% (5.0) 69.6% (16.0)
Figure 11 with class 9 (Six Axle Articulated)
Class 10 consists of B Double or Heavy truck and trailer, there were no recorded vehicle events for this
class (Figure 1).
*No data for class 10 (B Double)
16. Class 11 consists of Double Road Trains; there was only 1 recorded vehicle event for this class in the 40-
50km/h range (Figure 12).
Speed Bin Chart
SpeedBin-42 (Metric) Site:00991.0.0SN
Description: R99 PONTYPOOL, NEW INN, THE HIGHWAY, S OF LODGE WOOD <40mph>
Filter time: 15:00 Friday, February 27, 1998 => 11:09 Wednesday, March 11, 1998
Filter: Cls(11 ) Dir(NESW) Sp(10,160) Headway(>0)
Scheme: Vehicle classification (AustRoads94)
Total=1
40 - 50
100.0% (1.0)
Figure 12 with vehicle class 11 (Double Road Train)
Class 12 consists of Triple Road Trains; there were no recorded vehicle events for this class (Figure 1).
*No data for vehicle class 12 (Triple Road Train)
17. Class 13 consists of Unclassifiable Vehicle events with a total of 17 recorded events (Figure 13); these
were filtered out and not included in Figure 2 so that only classes 1 through to 12 were shown.
Speed Bin Chart
SpeedBin-44 (Metric) Site:00991.0.0SN
Description: R99 PONTYPOOL, NEW INN, THE HIGHWAY, S OF LODGE WOOD <40mph>
Filter time: 15:00 Friday, February 27, 1998 => 11:09 Wednesday, March 11, 1998
Filter: Cls(13 ) Dir(NESW) Sp(10,160) Headway(>0)
Scheme: Vehicle classification (AustRoads94)
Total=17
70 - 80 10 - 20
5.9% (1.0) 23.5% (4.0)
50 - 60 20 - 30
29.4% (5.0) 5.9% (1.0)
40 - 50 30 - 40
23.5% (4.0) 11.8% (2.0)
Figure 13 with vehicle class 13 (Unclassifiable Vehicle)
18. Class 0 consists of Unclassifiable Axle Events of which there were 114 recorded events (Figure 14); these
were filtered out and not included in Figure 2 so that only classes 1 through to 12 were shown.
Speed Bin Chart
SpeedBin-45 (Metric) Site:00991.0.0SN
Description: R99 PONTYPOOL, NEW INN, THE HIGHWAY, S OF LODGE WOOD <40mph>
Filter time: 15:00 Friday, February 27, 1998 => 11:09 Wednesday, March 11, 1998
Filter: Cls(0 ) Dir(NESW) Sp(10,160) Headway(>0)
Scheme: Vehicle classification (AustRoads94)
Total=114
120 - 130 10 - 20
1.8% (2.0) 16.7% (19.0)
150 - 160
0.9% (1.0)
100 - 110
1.8% (2.0)
110 - 120
0.9% (1.0)
80 - 90 20 - 30
5.3% (6.0) 17.5% (20.0)
70 - 80
8.8% (10.0)
60 - 70
8.8% (10.0)
50 - 60
11.4% (13.0)
40 - 50 30 - 40
7.9% (9.0) 18.4% (21.0)
Figure 14 with vehicle class 0 (Unclassifiable Axle Event)
19. 4. Individual Vehicles
The third part of this report shows only a few of the ‘Individual Vehicles’ recorded.
Note: As there are 82121 vehicles recorded in this type of report only a few are shown to show how this
report looks.
Individual-86 -- English (ENA)
Datasets:
Site: [00991] R99 PONTYPOOL, NEW INN, THE HIGHWAY, S OF LODGE WOOD
<40mph>
Direction: 5 - South bound A>B, North bound B>A. Lane: 0
Survey Duration: 15:00 Friday, 27 February 1998 => 11:09 Wednesday, 11 March 1998
Zone:
File: Pontypool Road.ec0 (PlusB)
Identifier: G239 MC50-3 [MC35] (c)Microcom 26/06/97
Algorithm: Factory default (v3.21 - 15275)
Data type: Axle sensors - Paired (Class/Speed/Count)
Profile:
Filter time: 15:00 Friday, 27 February 1998 => 11:09 Wednesday, 11 March 1998
Included classes: 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13
Speed range: 10 - 160 km/h.
Direction: North, East, South, West (bound)
Separation: All - (Headway)
Name: Default Profile
Scheme: Vehicle classification (AustRoads94)
Units: Metric (meter, kilometer, m/s, km/h, kg, tonne)
DS Axle Num Ht YYYY-MM-DD hh:mm:ss Dr Speed Wb Hdwy Gap Ax Gp Rho Cl Nm Vehicle
00 0000007a 04 1998-02-27 15:00:04 AB 66.5 2.5 1989.4 1989.2 2 2 1.00 1 00000020 SV o o
00 000000b6 04 1998-02-27 15:01:32 BA 53.8 3.2 19.4 19.2 2 2 1.00 3 00000020 TB2 o o
00 000002fa 08 1998-02-27 15:12:25 AB 52.7 11.6 16.0 15.9 4 3 1.00 7 00000020 ART4 o o oo
00 000003a4 08 1998-02-27 15:15:13 BA 49.3 7.0 1.4 1.2 4 3 1.00 2 00004042 SVT o o oo
00 00000e9e 07 1998-02-27 16:14:16 BA 47.1 4.6 24.1 24.0 3 2 0.86 4 00000010 TB3 o oo
00 00004507 05 1998-02-28 07:22:10 AB 64.6 8.1 72.9 72.7 3 3 0.80 6 00000010 ART3 o o o
00 000067d4 11 1998-02-28 12:30:41 AB 58.4 18.1 7.1 7.0 6 6 0.73 9 00000020 ART6 o o o o o o
00 00008ee9 08 1998-02-28 17:16:19 AB 58.2 9.7 1.6 1.5 4 2 1.00 5 00000020 T4 oo oo
00 00010e42 10 1998-03-02 07:33:20 AB 52.1 11.8 11.4 11.3 5 3 1.00 8 00000010 ART5 o o ooo
00 00044a9c 16 1998-03-08 17:53:36 BA 48.2 20.0 32.5 32.4 8 6 0.75 11 00000010 DRT o o oo o o oo
Table 2. Individual Vehicles report.
20. Column Description
DS Tagged dataset index.
Axle Num Dataset axle index.
Ht Number of axle hits in the vehicle.
Date and
Date and time of the first axle in the vehicle.
Time
Dr Direction of travel of the vehicle.
Speed Speed of the vehicle. Units of measurement are determined by the report Profile.
Wheelbase of the vehicle. Units of measurement are determined by the report
Wb
Profile.
Headway - time since the first axle of the last vehicle travelling in the same
Hdwy
direction.
Gap Gap - time since the last axle of the last vehicle travelling in the same direction.
Ax Number of axles in the vehicle.
Gp Number of axle groups in the vehicle.
Rho Sensor correlation factor.
Cl Class of the vehicle.
Nm Not defined - technical purposes only.
Vehicle Class name and scaled wheel picture of the vehicle.
Legend 1. Individual Vehicles report (Column legend)
21. 5. Weekly Vehicle Counts
In the following Weekly Vehicle Counts report the same data now displays the total number of vehicles
(Classes 1 to 12) broken down to hourly vehicle numbers.
The figures with the ‘<’ sign are peak AM and peak PM vehicle numbers.
MetroCount Traffic Executive
Weekly Vehicle Counts
WeeklyVehicle-173 -- English (ENA)
Datasets:
Site: [00991] R99 PONTYPOOL, NEW INN, THE HIGHWAY, S OF LODGE WOOD
<40mph>
Direction: 5 - South bound A>B, North bound B>A. Lane: 0
Survey Duration: 15:00 Friday, 27 February 1998 => 11:09 Wednesday, 11 March 1998
Zone:
File: Pontypool Road.ec0 (PlusB)
Identifier: G239 MC50-3 [MC35] (c)Microcom 26/06/97
Algorithm: Factory default (v3.21 - 15275)
Data type: Axle sensors - Paired (Class/Speed/Count)
Profile:
Filter time: 15:00 Friday, 27 February 1998 => 11:09 Wednesday, 11 March 1998
Included classes: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12
Speed range: 10 - 160 km/h.
Direction: North, East, South, West (bound)
Separation: All - (Headway)
Name: Default Profile
Scheme: Vehicle classification (AustRoads94)
Units: Metric (meter, kilometer, m/s, km/h, kg, tonne)
In profile: Vehicles = 81990 / 82732 (99.10%)
25. 6. Speed Separation Matrix
In the next report the same data is used again to show the ‘separation’ time between vehicles, this is
measured in seconds for a particular speed range.
It can be seen that the majority of vehicles (20.2%) travelled with a separation time between 8 and 16
seconds and this can also show the number of vehicles travelling very close to each other (less than 0.5
seconds) is 1.6% of total vehicles or 1315 vehicles out of 81990.
MetroCount Traffic Executive
Speed Separation Matrix
SeparationMatrix-174 -- English (ENA)
Datasets:
Site: [00991] R99 PONTYPOOL, NEW INN, THE HIGHWAY, S OF LODGE WOOD
<40mph>
Direction: 5 - South bound A>B, North bound B>A. Lane: 0
Survey Duration: 15:00 Friday, 27 February 1998 => 11:09 Wednesday, 11 March 1998
Zone:
File: Pontypool Road.ec0 (PlusB)
Identifier: G239 MC50-3 [MC35] (c)Microcom 26/06/97
Algorithm: Factory default (v3.21 - 15275)
Data type: Axle sensors - Paired (Class/Speed/Count)
Profile:
Filter time: 15:00 Friday, 27 February 1998 => 11:09 Wednesday, 11 March 1998
Included classes: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12
Speed range: 10 - 160 km/h.
Direction: North, East, South, West (bound)
Separation: All - (Headway)
Name: Default Profile
Scheme: Vehicle classification (AustRoads94)
Units: Metric (meter, kilometer, m/s, km/h, kg, tonne)
In profile: Vehicles = 81990 / 82732 (99.10%)