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A study of the performance d tili ti f th and utilization of the Swedish railway network Swedish railway network Anders Lindfeldt Royal Institute of Technology Royal Institute of Technology 2011-02-03
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A study of the performance d tili ti f th and utilization of the

Swedish railway networkSwedish railway networkAnders LindfeldtRoyal Institute of TechnologyRoyal Institute of Technology2011-02-03

IntroductionIntroduction

• The load on the railway network increases steadily, and with the up-coming deregulation of railway traffic it will increase even morerailway traffic, it will increase even more.

• Need to get a picture how the railway network is • Need to get a picture how the railway network is utilized and how it is performing.

• Analyzing an entire network manually is time consuming • Use available data in automatic procedures to calculate

useful measurements of performance.

Swedish railwaySwedish railway

• 8 100 km of single track,1 900 km of double track.

• High capacity utilization on the main lines.

• Great speed differences between trains on the same track (high speed trains and freight the same track (high speed trains and freight trains).

MethodMethod

• Extract relevant data from several different databases regarding:

I f t t- Infrastructure- Timetable (planned)

Train properties (operational data)- Train properties (operational data)- Delays (operational data)

• Divide the network into smaller parts according to traffic patterns and type of g p ypinfrastructure.

MethodMethod

• Define parameters describing the properties Define parameters describing the properties of the lines.

• Compute the parameters for each part of the network.

• Use maps to present the data to make it easy to get an overview of the status of the to get an overview of the status of the network.

• Perform an analysis to find out if any of the parameters can be used to explain the delays.

Parameters

• Infrastructure- Station distance, station track lengths

Sh f t ti ith th th t k- Share of stations with more than three tracks- Share of stations with parallel movement facility

• Timetable- Number of trains running during different parts of the dayg g p y

Parameters

• Train properties- Mean speeds

S d h t it- Speed heterogeneity- Freight train mass, length, nr of axles- Gross weight / dayGross weight / day

• Delaysy- Share of trains that have received an additional delay- Median delay/km of the delayed trains

Data sourcesInfrastruktur Tidtabell Trafik Förseningar

Enkelspår: Antal tåg per dag Godståg Persontåg/GodstågAvstånd mellan mötestationer (km) Totalt/Persontåg/Godstågmin Antal tåg per dag Vikt (ton) Andel merförsenade tågmax minmedel Antal tåg per timme: max Median merförsening normerat medmedel Antal tåg per timme: max Median merförsening normerat medstandardavvikelse Totalt/Persontåg/Godståg medel sträckans längd [min/100 km]

Under maxtimmen Maxtimmen standardavvikelseAndel 3-spårs stationer På morgonen 06-09 Standardavvikelse merförsening normerat

På eftermiddagen 15-18 Längd (m) med sträckans längd [min/100 km]Andel stationer med samtidig infart På eftermiddagen 16-17 min

Under dagtid 9-15 och 18-20 maxDubbellspår: Under natten 20-06 medelAvstånd mellan förbigångsstationer (km) standardavvikelsemin Hastighet (km/h)max Persontåg/Godståg Antal axlarmedel max minmedel max minstandardavvikelse min max

medel medelAlla banor och stationer (m): median standardavvikelseHinderfri längdmin Hastighetskillnader Axellast

d l t d d ik l imedel standardavvikelse minmax standardavvikelse/medel max

95 percentilen/10 percentilen medelstandardavvikelse

Bruttoton/dag (ton)g ( )

PersontågAndel med ≤ 12Andel med > 12

Databas: Databas: Databas: Databas:BIS T08.3 BANSTAT TFÖRMätperiod: Mätperiod: Mätperiod: Mätperiod:2008-12-19 2008-10-09 2008-10 2008-09 och 2008-10

Number of trains / dayNumber of trains / day

• Black: Total number of trains.Black: Total number of trains.

• Green: Freight trains.g

• Range: 0-267 trains/day and direction.

• Freight trains dominate in the north and passenger trains around the bigger cities.

f f h d h• Mix of freight and passenger trains on the double track lines in the south.

Average speed (all trains)52

46

Average speed (all trains)54

50

735

70

• Green: Low speed.60

73

77

5361

75

• Red: High speed.

R 23 142 k /h58

73

73

65

6186 77

78

63

8

• Range: 23-142 km/h.

Hi h d d bl t k l d

5

94

76

63

75

122

34

6973

83

78

• High speed on double tracks, lower speed on single tracks due to frequent stops at crossing stations.

6772

91

99

12

22

83 56

127

116 136

65

87

8110

8

68

123 61

3

87

50

65

79

105

66

67

7679 g

9

70

96

8466

8

6286 11

2

107

105

61

63

7664

89

767

99

73 7988

78

89

104

64

82

71

100

94

60

75 79

7

66

81

Speed mix (all trains)2

2

Speed mix (all trains)1,1

1

6

12

1,8

• 95 percentile divided by the 10 percentile.1,3 1,1

1,6 ,2

1,9

• Green: Homogeneous speed.

R d H d1,4

1,3

1,1

1

2

1,5 1,1

1,3

• Red: Heterogeneous speed.

R 1 2 6 [ ]

1,8

2

1,7

1,

2

1,9

1,9

1,71 5

1,6

• Range: 1 - 2.6 [-]

• Lines with the most heterogeneous traffic are

1,4

2,22,3

1,9

2,1 1,7

1,3

2,31,7

1,21,7

1,51,9

2

1,3

1,6

2

3

1,1

,9

1,8

1

8

1

1,1

1,5

1,3

1,5

• Lines with the most heterogeneous traffic are the double track lines with extensive freight and passenger traffic.

1,5

1,72,4

1,2

1,3

1,9

1,8

1

1,8

1,7

1,2

2,31

1,4

1, 1,6

2,2

1,2

p g,7

2,61,6

1,4

1,1

1,1

1,1

1

1,2

1,1

1

1

Share of delayed trains 27

(passenger trains)

• Share of the passenger trains that have

31

4 • Share of the passenger trains that have received an additional delay [%].

34

• Green: A small share of the trains are delayed.

26

6

3036

20

45

18

• Red: A big share of the trains are delayed.

57

35

61

48

58 4131

45

7

50

• Range: 14 - 89 %.50

44

4

5227

19

4255

89

60 22

18

56

6415

26

45

42 22

45

36

26

37

50

• The highest values are due to temporary speed est ictions45

68

40

4

23

7

82

28

46

54

42

44

26

36

27 39

4825

26

speed restrictions.4 34 37

39 25

38 32

24

21

39

3626

41

4430

Station distance (mean)15

10

Station distance (mean)50

27

18

• Red: Long station distance.89

40

18

159

• Green: Short station distance.

R 5 5 89 k44

0

1712

22

16

8

1

• Range: 5.5 – 89 km.

U ll l di t b t idi

4

9

25

136

9

12

15

11

9

10

• Usually longer distances between siding stations (double track) than between crossing stations (single track).

478

10 20

733

16

4

9 12

9

16

6

17

10

5

9

10

9

11

18

17

12

16

12 6

( g )

23

8

11

20

16

17

14

15

15 26

10

9

6

12

9

10

13

8

14

16

28

14

26

6

7

1

18

11

9

10

16

6

Station track length vs. freight train length

• Share of the freight trains that are longer • Share of the freight trains that are longer than the mean track length of the stations on the line.

• Range: 0 – 61 %. (Green-Red)

• The effective station distance increase when crossings/sidings cannot be performed on all stations.

Delay correlations

• Investigate if the calculated parameters correlates to the delays on the lines. St i ltili i d• Stepwise multilinear regression used.

• Correlations found significant at the 0.05 level:

Train type Delay type Parameter Slope Passenger Share Total nr of trains/day 0.44 Passenger Share Mean speed (all trains) 0.42 Passenger Share Speed mix (all trains) 0.29 Freight Share Total nr of trains/day 0 57Freight Share Total nr of trains/day 0.57 Freight Share Share of stations with at least 3 tracks -0.46

General conclusions

• By defining suitable parameters based on data about infrastructure, timetable, train properties and delays, it is possible to perform a time efficient analysis of a it is possible to perform a time efficient analysis of a nationwide railway network.

• It has been shown that the following properties are correlated to the delays:- The total nr of trains/day- Mean speed and speed mix of the trains

Sh f t ti ith t l t 3 t k- Share of stations with at least 3 tracks

• Data quality issues• Data quality issues.


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