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Introducing Automated Obstacle Detection to British Level Crossings

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Part of the book series: Lecture Notes in Mobility ((LNMOB))

Abstract

This paper discusses the implementation of automated obstacle detection to British level crossings to improve safety and efficiency, reduce costs and analyse how successful this could be. There are over 6000 level crossings in Britain, and they are the largest single risk to the railways; one method to improve their safety is by introducing automated obstacle detection. Over the last ten years, there have been, on average, nine deaths a year at level crossings (Rail Safety and Standards Board in Annual safety performance report. Rail Safety and Standards Board Limited, SL, 2016) (excluding suicides), making them a high priority for Network Rail to improve. Obstacle detection would not just help improve the safety of level crossings, but it could also reduce the costs associated with level crossing signallers and operators and would lower the waiting times for road vehicles and pedestrians. With research also being done into the future possibility of introducing autonomous trains to the British railways, the combination of this and the obstacle detection system proposed could see a large improvement in safety across the level crossings.

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Acknowledgements

The authors would like to thank: Dr. David Worsley for providing knowledge, proofreading and helping me access information, which has been integral to the finishing of this study, Emma Burles for her assistance in visiting various level crossing sites and for proofreading this paper and Emma Dent and Harrison Holland, for their patient proofreading.

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Correspondence to Matthew Dent .

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Appendices

Appendix 1: List of MCB-OD Level Crossings in Britain

Level crossings with obstacle detection

Number

Name

Individual risk

Collective risk

Line speed (mph)

Number of trains

Usage per day

1

Allens West

J

4

45

71

5535 vehicles, 351 pedestrians or cyclists

2

Aslockton

J

6

75

54

1242 vehicles, 108 pedestrians or cyclists

3

Attleborough

I

4

90

65

6561 vehicles, 529 pedestrians or cyclists

4

Auckley

J

6

75

29

1688 vehicles, 162 pedestrians or cyclists

5

Balderton

F

8

125

229

5 vehicles, 1 pedestrians or cyclists

6

Balne

F

7

125

151

27 vehicles, 14 pedestrians or cyclists

7

Balne Lowgate

F

7

125

151

27 vehicles, 14 pedestrians or cyclists

8

Berwick

H

4

90

142

4131 vehicles, 216 pedestrians or cyclists

9

Billingshurst

F

3

60

120

2282 vehicles, 999 pedestrians or cyclists

10

Bingham

J

5

75

65

5454 vehicles, 162 pedestrians or cyclists

11

Blankney

J

6

75

49

4887 vehicles, 122 pedestrians or cyclists

12

Blue Gowt

I

8

75

28

95 vehicles, 27 pedestrians or cyclists

13

Brandon

J

4

90

65

11,176 vehicles, 178 pedestrians or cyclists

14

Brewery Lane

H

8

75

23

26 vehicles, 18 pedestrians or cyclists

15

Brierfield

J

6

50

37

2755 vehicles, 250 pedestrians or cyclists

16

Broad Oak

E

4

60

53

215 vehicles, 39 pedestrians or cyclists

17

Burn Lane

I

8

75

29

108 vehicles, 27 pedestrians or cyclists

18

Cheal Road

J

9

75

23

56 vehicles, 6 pedestrians or cyclists

19

Church Lane

I

9

75

18

20 vehicles, 6 pedestrians or cyclists

20

Dean

I

6

85

77

567 vehicles, 27 pedestrians or cyclists

21

Dean Hill

J

6

85

77

1188 vehicles, 27 pedestrians or cyclists

22

Eccles Road

I

6

90

70

1754 vehicles, 89 pedestrians or cyclists

23

Fenwick

F

7

125

151

33 vehicles, 11 pedestrians or cyclists

24

Fish Dock Road

J

5

25

72

3971 vehicles, 223 pedestrians or cyclists

25

Flax Mill

H

7

75

33

68 vehicles, 35 pedestrians or cyclists

26

Folly Bank

J

6

75

29

2241 vehicles, 149 pedestrians or cyclists

27

Four Lane Ends

G

6

70

63

324 vehicles, 135 pedestrians or cyclists

28

Garden Street

F

3

15

72

2436 vehicles, 3092 pedestrians or cyclists

29

Golden High Hedges

L

12

75

18

27 vehicles

30

Gosberton

J

7

75

23

1134 vehicles, 54 pedestrians or cyclists

31

Green Lane

F

3

60

50

3456 vehicles, 108 pedestrians or cyclists

32

Harling Road

I

5

75

71

3375 vehicles, 108 pedestrians or cyclists

33

Henwick Hall

J

8

75

29

216 vehicles, 27 pedestrians or cyclists

34

Heyworth

F

6

125

156

18 vehicles, 17 pedestrians or cyclists

35

Holme

G

4

125

293

1482 vehicles, 47 pedestrians or cyclists

36

Huncoat

I

5

70

102

1690 vehicles, 113 pedestrians or cyclists

37

Kesteven

J

6

60

73

2241 vehicles, 14 pedestrians or cyclists

38

Kingsknowe

D

2

70

131

1377 vehicles, 122 pedestrians or cyclists

39

Kirknewton

I

4

95

115

4147 vehicles, 247 pedestrians or cyclists

40

Lakenheath

J

6

75

70

4762 vehicles, 30 pedestrians or cyclists

41

Littleworth

K

6

75

30

7560 vehicles, 27 pedestrians or cyclists

42

Llanelli East

G

3

75

85

6210 vehicles, 1431 pedestrians or cyclists

43

Llanelli West

F

3

75

79

540 vehicles, 1323 pedestrians or cyclists

44

Moss

H

5

125

151

2606 vehicles, 14 pedestrians or cyclists

45

Nantwich

H

3

60

62

9234 vehicles, 2781 pedestrians or cyclists

46

North Carr

K

10

75

24

81 vehicles

47

Orston Lane

I

6

75

58

783 vehicles, 135 pedestrians or cyclists

48

Pevensey

I

4

70

110

5616 vehicles, 162 pedestrians or cyclists

49

Plumpton

I

6

90

78

918 vehicles, 54 pedestrians or cyclists

50

Polegate

F

2

90

148

7128 vehicles, 2889 pedestrians or cyclists

51

Prees

J

8

90

62

324 vehicles

52

Pulford

E

4

60

39

729 vehicles

53

Rowston

I

8

75

49

81 vehicles, 14 pedestrians or cyclists

54

Sandhill Lane

H

6

70

105

501 vehicles, 100 pedestrians or cyclists

55

Saxilby

G

6

65

73

297 vehicles, 135 pedestrians or cyclists

56

Scopwick

J

6

75

49

2478 vehicles, 23 pedestrians or cyclists

57

Shippea Hill

I

6

90

65

2160 vehicles, 81 pedestrians or cyclists

58

Sleaford North

J

9

55

49

162 vehicles

59

Smithy Bridge

H

4

70

153

4104 vehicles, 324 pedestrians or cyclists

60

Spooner Row

I

6

75

70

2011 vehicles. 65 pedestrians or cyclists

61

St. James Deeping

K

7

75

28

1368 vehicles, 22 pedestrians or cyclists

62

Sykes Lane

F

6

65

73

59 vehicles, 108 pedestrians or cyclists

63

Thorpe Gates

I

5

90

105

3321 vehicles, 81 pedestrians or cyclists

64

Thorpe Hall

I

5

90

108

2444 vehicles, 128 pedestrians or cyclists

65

Tinsley

L

12

75

28

20 vehicles

66

Ulceby

I

5

40

173

2529 vehicles, 77 pedestrians or cyclists

67

Wallsend

J

4

70

110

8505 vehicles, 189 pedestrians or cyclists

68

Water Drove

I

8

75

23

47 vehicles, 12 pedestrians or cyclists

69

Wellowgate

F

2

15

72

2257 vehicles, 5222 pedestrians or cyclists

70

Wem

H

4

100

71

3672 vehicles, 621 pedestrians or cyclists

71

Wrenbury

I

6

80

62

783 vehicles, 81 pedestrians or cyclists

Appendix 2: Spreadsheet of Individual and Collective Risk

Individual risk letter and collective risk number

Type of level crossing

Type of risk

A

B

C

D

E

F

G

H

I

J

K

L

M

Total

Sum

Average risk

1

2

3

4

5

6

7

8

9

10

11

12

13

Automatic barrier crossing

Individual

0

0

0

20

30

30

17

10

4

4

2

2

3

122

770

F

Collective

0

12

8

52

19

21

2

6

1

0

0

0

1

122

561

5

Automatic half barrier crossing

Individual

0

0

20

186

137

55

15

10

7

3

1

0

0

434

2108

E

Collective

9

102

76

147

45

50

4

1

0

0

0

0

0

434

1590

4

Automatic open crossing

Individual

0

0

0

7

4

1

4

2

2

3

0

3

4

30

234

H

Collective

0

2

2

3

10

8

1

1

0

1

0

0

2

30

171

6

Footpath crossing

Individual

0

13

1310

1090

52

51

0

3

0

0

0

0

47

2566

9517

D

Collective

2

38

50

307

195

581

278

269

120

424

181

74

47

2566

18,825

7

Footpath crossing with miniature stop lights

Individual

0

0

33

48

1

2

1

0

0

0

0

0

2

87

341

D

Collective

0

2

7

24

8

28

7

5

0

3

1

0

2

87

485

6

Manned barrier crossing

Individual

0

0

0

0

8

20

49

43

24

17

10

9

1

181

1464

H

Collective

0

19

16

49

27

54

6

5

1

2

1

0

1

181

876

5

Manned barrier crossing monitored by CCTV

Individual

0

0

0

7

24

57

114

90

104

82

23

7

0

508

4101

H

Collective

6

41

54

134

72

139

23

25

6

3

1

3

1

508

2485

5

Manned gates

Individual

0

0

0

2

6

17

22

29

23

6

10

7

3

125

1026

H

Collective

0

1

2

12

17

28

14

32

8

6

2

2

1

125

854

7

Open crossing

Individual

0

0

4

7

4

6

4

3

5

1

1

2

5

42

303

G

Collective

0

2

2

10

7

10

2

5

2

1

0

0

1

42

240

6

User-worked crossing

Individual

22

126

169

68

12

6

1

0

0

0

0

12

46

462

1898

D

Collective

2

3

6

61

17

93

30

97

46

39

11

15

42

462

3550

8

User-worked crossing with miniature stop lights

Individual

2

52

37

9

1

1

0

0

0

0

0

0

2

104

290

C

Collective

2

8

11

39

13

12

4

7

1

4

0

1

2

104

515

5

User-worked crossing with telephone

Individual

24

404

850

366

18

2

3

2

0

0

0

2

50

1721

5659

C

Collective

1

13

24

185

131

358

151

330

191

246

18

23

50

1721

12,642

7

Appendix 3: Network Rail Level Crossing Closure List

Appendix 4: Lincoln High Street Level Crossing Images

Appendix 5: Graph of Train Approximated Arrival Times

For Scenario 3, the time taken to stop is a distance of 50 m back from the level crossing. For Scenario 1 and 2, it is the time taken for the train to reach the level crossing. At lower speeds, this distance of 50 m is quite significant because it is the reason why Scenario 3 has a lower arrival time than Scenario 2.

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Dent, M., Marinov, M. (2019). Introducing Automated Obstacle Detection to British Level Crossings. In: Fraszczyk, A., Marinov, M. (eds) Sustainable Rail Transport. Lecture Notes in Mobility. Springer, Cham. https://doi.org/10.1007/978-3-319-78544-8_3

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  • DOI: https://doi.org/10.1007/978-3-319-78544-8_3

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