Reliability of Stockholm Subway - Index of

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$AI\TIEBOLAGET . STOCKHOLMS .SPÅRVÄGAR$

of the subway operator in order to calculate the award. Nevertheless it can be applied as an inner efficiency estimator, which will be able to help planners to disclose the bottle necks and drawbacks of the system. Basing on the data it is possible to take timely decisions and adequately correspond to the grave situations. 4.3 RUST database RUST is a database, which is available to SL employees to trace and analyze the performance of the subway. The database can be used through intranet in the SL office or via VPN protected internet connection from any computer worldwide when you are allowed. 4.3.1 Database inquiry Excel file inquiry allows receiving access to the database. The file contains the menu where the request can be carried out. To show the results the menu for input parameters presented on the figure 4.14 offers to choose: time period (dates and time), line, route, direction, required stations, number of cars and type of timetable. It is possible to choose any moment and any station during the period of recorded data. User can also make request for two different time periods. 48
Figure 4.14 Input table to select required data set 4.3.2 Data output As an output the user will receive the excel sheet presented on figure 4.15. Figure 4.15 Example of selected data set Column A “Datum” represents the date of the record, column B provides the departure time of the train at the first station. Column C gives information on destination of the train. Column D “Tur” gives the number of the route. Column E 49
Page 1: Reliability of Stockholm Subway A N
Page 5: Acknowledgments I am heartily thank
Page 8 and 9: 4.2.5 Rolling stock ...............
Page 10 and 11: Transit service reliability is a wi
Page 12 and 13: system operates 30 trains per hour
Page 14 and 15: The dip in punctuality level in 200
Page 16 and 17: 1.3 Research Objectives Concerning
Page 18 and 19: consuming and requires data that ma
Page 20 and 21: study case he also studies the impa
Page 22 and 23: scheduled one. The parameter can be
Page 24 and 25: 3.2 Measures of regularity 3.2.1 He
Page 26 and 27: 3.3 Analysis The analysis of Stockh
Page 29 and 30: Chapter 4: Description of the Stock
Page 31 and 32: Table 4.1 Lines of Stockholm subway
Page 33 and 34: there are two tracks for Nockebyban
Page 35 and 36: tramline of Tvärbana. Globen is th
Page 37 and 38: transfer between the platforms for
Page 39 and 40: Leaving passengers also some cases
Page 41 and 42: Figure 4.9 Maximum speed change alo
Page 43 and 44: The set of messages sending by inte
Page 45 and 46: distance, about 10 m. It fixed the
Page 47: the case when the information on fo
Page 51 and 52: Chapter 5: Study case: Green line 5
Page 53 and 54: 5.2 Timetable analysis Stockholm su
Page 55 and 56: One can notice that average headway
Page 57 and 58: HÄS HÄG JOL VBY RÅC BLB ILT ÄBP
Page 61 and 62: 7:00 7:30 8:00 8:30 9:00 9:30 10:00
Page 63 and 64: 6:30 7:00 7:30 8:00 8:30 9:00 9:30
Page 65 and 66: 6:30 7:00 7:30 8:00 8:30 9:00 9:30
Page 69 and 70: Relative frequency Relative frequen
Page 71 and 72: For the platform of the northern di
Page 73 and 74: 5.4 Detailed analysis at stations A
Page 75 and 76: 6:30 7:00 7:30 8:00 8:30 9:00 9:30
Page 77 and 78: 6:30 7:00 7:30 8:00 8:30 9:00 9:30
Page 79 and 80: 6:30 7:00 7:30 8:00 8:30 9:00 9:30
Page 81 and 82: Chapter 6: Conclusions 6.1 Summary
Page 83: The other topic of data processing
Page 86 and 87: Litman Todd, Valuing Transit Servic
Page 88 and 89: Table A.1 On-time performance at st
Page 90 and 91: Sample mean, s st. deviation, s2 CV
Page 92 and 93: N mean, s st. deviation, s2 CV max,
Page 94 and 95: mean, s Standard deviation, s 2 CV
Page 96 and 97: Table A.6 Waiting time at stations
Page 98 and 99:
Table A.7 Table of the stations wit
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