Speed bin report by vehicle class

Report by vehicle class and
speed

Prepared by Seth Siedna using MetroCount MTE
software v3.21

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

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.

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)

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
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)
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

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
Filter: Cls(1 2 3 4 5 6 7 8 9 10 11 12 ) Dir(NESW) Sp(10,160) Headway(>0)
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

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
Filter: Cls(1 ) Dir(NESW) Sp(10,160) Headway(>0)
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)

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
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)

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
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)

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
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)

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
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)

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
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)

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
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)

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
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)

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
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)

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
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)

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
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)

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
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)

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:
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
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.

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)

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:
<40mph>
Zone:

Profile:
Included classes: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12
In profile: Vehicles = 81990 / 82732 (99.10%)

WeeklyVehicle-173
Site: 00991.0.0SN

Mon Tue Wed Thu Fri Sat Sun Averages
23 Feb 24 Feb 25 Feb 26 Feb 27 Feb 28 Feb 01 Mar 1 - 5 1 - 7
Hour |
0000-0100 * * * * * 66 92 | * 79.0
0100-0200 * * * * * 19 36 | * 27.5
0200-0300 * * * * * 17 21 | * 19.0
0300-0400 * * * * * 10 24 | * 17.0
0400-0500 * * * * * 38 8 | * 23.0
0500-0600 * * * * * 89 83 | * 86.0
0600-0700 * * * * * 93 56 | * 74.5
0700-0800 * * * * * 172 88 | * 130.0
0800-0900 * * * * * 249 117 | * 183.0
0900-1000 * * * * * 396 210 | * 303.0
1000-1100 * * * * * 531 420 | * 475.5
1100-1200 * * * * * 581< 433<| * 507.0<
1200-1300 * * * * * 608< 552<| * 580.0
1300-1400 * * * * * 590 407 | * 498.5
1400-1500 * * * * * 490 470 | * 480.0
1500-1600 * * * * 721 476 488 | 721.0 561.7
1600-1700 * * * * 803 510 464 | 803.0 592.3<
1700-1800 * * * * 699 447 462 | 699.0 536.0
1800-1900 * * * * 514 433 414 | 514.0 453.7
1900-2000 * * * * 403 367 315 | 403.0 361.7
2000-2100 * * * * 305 254 228 | 305.0 262.3
2100-2200 * * * * 226 163 142 | 226.0 177.0
2200-2300 * * * * 190 124 139 | 190.0 151.0
2300-2400 * * * * 137 159 84 | 137.0 126.7
|
Totals _______________________________________________________________|________________
|
0700-1900 * * * * * 5483 4525 | * 5300.7
0600-2200 * * * * * 6360 5266 | * 6176.2
0600-0000 * * * * * 6643 5489 | * 6453.8
0000-0000 * * * * * 6882 5753 | * 6705.3
|
AM Peak * * * * * 1100 1100 |
* * * * * 581 433 |
|
PM Peak * * * * * 1200 1200 |
* * * * * 608 552 |

* - No data.

WeeklyVehicle-173
Site: 00991.0.0SN

02 Mar 03 Mar 04 Mar 05 Mar 06 Mar 07 Mar 08 Mar 1 - 5 1 - 7
Hour |
0000-0100 26 12 23 33 36 60 97 | 26.0 41.0
0100-0200 4 9 6 12 18 22 37 | 9.8 15.4
0200-0300 4 0 6 6 5 12 18 | 4.2 7.3
0300-0400 8 7 6 4 4 17 18 | 5.8 9.1
0400-0500 16 22 24 20 19 38 8 | 20.2 21.0
0500-0600 123 139 120 126 142 113 70 | 130.0 119.0
0600-0700 148 169 171 168 181 104 58 | 167.4 142.7
0700-0800 428 425 403 410 405 155 68 | 414.2 327.7
0800-0900 705< 698< 686< 680< 694< 257 95 | 692.6< 545.0<
0900-1000 576 492 516 534 583 423 234 | 540.2 479.7
1000-1100 477 425 477 465 443 507 380 | 457.4 453.4
1100-1200 477 378 492 475 535 521< 421<| 471.4 471.3
1200-1300 524 471 489 542 591 567< 477<| 523.4 523.0
1300-1400 528 508 599 532 642 499 408 | 561.8 530.9
1400-1500 585 540 591 558 798< 464 438 | 614.4 567.7
1500-1600 629 591 634 611 535 390 411 | 600.0 543.0
1600-1700 592 705 719 544 582 312 405 | 628.4 551.3
1700-1800 715< 753< 828< 768< 654 335 436 | 743.6< 641.3<
1800-1900 525 581 542 614 509 425 366 | 554.2 508.9
1900-2000 359 359 409 421 416 349 318 | 392.8 375.9
2000-2100 248 284 247 321 301 230 238 | 280.2 267.0
2100-2200 231 253 275 295 229 155 161 | 256.6 228.4
2200-2300 162 181 203 217 166 122 144 | 185.8 170.7
2300-2400 62 75 95 122 144 158 94 | 99.6 107.1
|
Totals _______________________________________________________________|________________
|
0700-1900 6761 6567 6976 6733 6971 4855 4139 | 6801.6 6143.1
0600-2200 7747 7632 8078 7938 8098 5693 4914 | 7898.6 7157.1
0600-0000 7971 7888 8376 8277 8408 5973 5152 | 8184.0 7435.0
0000-0000 8152 8077 8561 8478 8632 6235 5400 | 8380.0 7647.9
|
AM Peak 0800 0800 0800 0800 0800 1100 1100 |
705 698 686 680 694 521 421 |
|
PM Peak 1700 1700 1700 1700 1400 1200 1200 |
715 753 828 768 798 567 477 |

* - No data.

WeeklyVehicle-173
Site: 00991.0.0SN

09 Mar 10 Mar 11 Mar 12 Mar 13 Mar 14 Mar 15 Mar 1 - 5 1 - 7
Hour |
0000-0100 27 17 0 * * * * | 14.7 14.7
0100-0200 8 6 0 * * * * | 4.7 4.7
0200-0300 3 1 0 * * * * | 1.3 1.3
0300-0400 9 3 0 * * * * | 4.0 4.0
0400-0500 17 19 0 * * * * | 12.0 12.0
0500-0600 113 120 0 * * * * | 77.7 77.7
0600-0700 140 164 0 * * * * | 101.3 101.3
0700-0800 408 399 0 * * * * | 269.0 269.0
0800-0900 702< 691< 0 * * * * | 464.3< 464.3<
0900-1000 540 585 0 * * * * | 375.0 375.0
1000-1100 428 455 0 * * * * | 294.3 294.3
1100-1200 475 475 0< * * * * | 316.7 316.7
1200-1300 531 561< * * * * * | 546.0< 546.0<
1300-1400 524 0 * * * * * | 262.0 262.0
1400-1500 596 0 * * * * * | 298.0 298.0
1500-1600 634 0 * * * * * | 317.0 317.0
1600-1700 709 0 * * * * * | 354.5 354.5
1700-1800 801< 0 * * * * * | 400.5 400.5
1800-1900 553 0 * * * * * | 276.5 276.5
1900-2000 377 0 * * * * * | 188.5 188.5
2000-2100 232 0 * * * * * | 116.0 116.0
2100-2200 253 0 * * * * * | 126.5 126.5
2200-2300 169 0 * * * * * | 84.5 84.5
2300-2400 77 0 * * * * * | 38.5 38.5
|
Totals _______________________________________________________________|________________
|
0700-1900 6901 3166 * * * * * | 4173.8 4173.8
0600-2200 7903 3330 * * * * * | 4706.2 4706.2
0600-0000 8149 3330 * * * * * | 4829.2 4829.2
0000-0000 8326 3496 * * * * * | 4943.5 4943.5
|
AM Peak 0800 0800 1100 * * * * |
702 691 0 * * * * |
|
PM Peak 1700 1200 * * * * * |
801 561 * * * * * |

* - No data.

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:
<40mph>
Zone:

Profile:
Included classes: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12
In profile: Vehicles = 81990 / 82732 (99.10%)

Speed Separation Matrix
SeparationMatrix-174
Site: 00991.0.0SN
Speed (km/h) Speed Totals
| ________________________________________________________________________________________________ |
| Headway (Second) |
| 0.0 0.5 1.0 2.0 4.0 8.0 16.0 32.0 64.0 128.0 1000.0 5000.0 |
| 0.5 1.0 2.0 4.0 8.0 16.0 32.0 64.0 128.0 1000.0 5000.0 10000.0|
10 - 20 | 8 2 9 155 186 50 20 9 2 6 1 .| 448 0.5%
20 - 30 | 12 4 62 178 112 80 62 38 12 3 2 .| 565 0.7%
30 - 40 | 15 33 248 170 84 144 148 100 41 18 3 .| 1004 1.2%
40 - 50 | 149 306 2802 1580 1477 2161 2180 1249 352 170 15 .| 12441 15.2%
50 - 60 | 725 602 5423 5587 5958 7711 7285 4079 1235 485 20 .| 39110 47.7%
60 - 70 | 361 123 1492 2840 4185 5258 5028 2784 973 492 33 2| 23571 28.7%
70 - 80 | 37 11 108 316 661 1041 1054 622 260 147 15 2| 4274 5.2%
80 - 90 | 6 2 6 24 78 109 126 89 33 28 3 .| 504 0.6%
90 - 100 | 2 . 3 4 5 13 12 11 7 2 1 .| 60 0.1%
100 - 110 | . . . . 3 3 1 3 . 2 . .| 12 0.0%
110 - 120 | . . . . . . 1 . . . . .| 1 0.0%
120 - 130 | . . . . . . . . . . . .| 0 0.0%
130 - 140 | . . . . . . . . . . . .| 0 0.0%
140 - 150 | . . . . . . . . . . . .| 0 0.0%
150 - 160 | . . . . . . . . . . . .| 0 0.0%
|________________________________________________________________________________________________|______________
| 1315 1083 10153 10854 12749 16570 15917 8984 2915 1353 93 4| 81990
| 1.6% 1.3% 12.4% 13.2% 15.5% 20.2% 19.4% 11.0% 3.6% 1.7% 0.1% 0.0%|
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