HOW TO USE THIS PRESENTATION?
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1 HOW TO USE THIS PRESENTATION? All slides (except this one) are active during the presentation. If you don t want to show things live in PTV Visum, then you should show all slides. If you show certain parts live in PTV Visum, you can hide some slides. Make sure to set the project directories correct to benefit from prepared gpa files. You find a recording of my webinar as well as all PTV Visum files under \\ska-emf00\sf_vertrieb\market_development\webinars\ _whats_new_in_ptvs_vision_traffic_suite (if you don t have access, please contact you responsible sales manager or corp. marketing) Most slide contain notes. They contain text you can use for your presentation as well as notes how to show the new functionality with the prepared examples. In case of feedback please write to ProductManagement.VISUM@ptvgroup.com I Page 1
2 What is new in PTV Visum 15 Johannes Schlaich, PTV Group June 2015
3 GENERAL SOFTWARE IMPROVEMENTS & ENHANCEMENTS PTV Visum 12.0 PTV Visum 12.5 PTV Visum 13 PTV Visum 14 SCENARIOMANAGEMENT INTEGRATED MATRIX EDITOR WINDOW REDESIGN NESTED DEMAND MULTI-USER-ACCESS FORMULA ATTRIBUTES & MATRICES RUBBERBANDING NEW TIMETABLE EDITOR SCHEMATIC LINE DIAGRAM MATRIX REFERENCES ASSIGNMENT WITH JUNCTION DETAILS IMPROVEMENTS OF LUCE OPEN STREET MAP IMPORT LIVE BACKGROUND MAPS VISUM SAFETY REPORTING STOP-TO-STOPSKIMMING DISTRIBUTED COMPUTING ACCELERATION OF SEVERAL PROCEDURES I Page 3
4 ACCELERATIONS Traditional accelerations: Path lists PrT path list export PuT path list with more than one DSeg Headway-based assignment PuT Line Blocking Several other improvements More efficiency when working with PTV Visum 15 I Page 4
5 TOUR-BASED FREIGHT Trip generation and tour generation in urban freight context Demand strata based on Sectors and Delivery concepts generates matrix of jobs Tour optimization for each demand strata generates matrix of trips 2. Tour optimization 1. Trip generation jobs LOGISTIC CENTRE DELIVERS GOODS TO 9 SUPERMARKETS IN ZONES 1 AND trips 2 4 ASSUMPTIONS: MAX 2 SUPERMARKETS PER TOUR GOOD OPTIMIZATION POSSIBLE I Page 5
6 TOUR-BASED FREIGHT Trip generation and tour generation in urban freight context Demand strata based on Sectors and Delivery concepts generates matrix of jobs Tour optimization for each demand strata generates matrix of trips 2. Tour optimization jobs LOGISTIC CENTRE DELIVERS GOODS TO 9 SUPERMARKETS IN ZONES 1 AND ????????? 1? trips 2? trips 1. Trip generation 3 4 ASSUMPTIONS INFLUENCE RESULTS I Page 6
7 TOUR-BASED FREIGHT AVG. TOUR LENGTH EVALUATION TOUR START EVALUATION SAVINGS I Page 7
8 TOUR-BASED FREIGHT Results (Pizza service) Blue (N = 260): Each job with one tour Red (N = 196): Avg tour length = 2 low optimzation Green (N = 196): Avg tour length = 2 high optimzation I Page 8
9 TOUR-BASED FREIGHT Results (Pizza service) Blue (N = 260): Each job with one tour Red (N = 196): Avg tour length = 2 low optimzation Green (N = 196): Avg tour length = 2 high optimzation I Page 9
10 TOUR-BASED FREIGHT Results (Pizza service) Blue (N = 260): Each job with one tour Red (N = 196): Avg tour length = 2 low optimzation Green (N = 196): Avg tour length = 2 high optimzation I Page 10
11 NESTED MODE CHOICE IN THE TOUR-BASED DEMAND MODEL (VISEM) 1. Current situation 2. Paint 50% of the busses in red! 3. Nested logit model car bus car blue bus red bus car PuT 50% 50% 33% 33% 33% 50% 50% Car and bus have the same travel times (= utility) same share Three modes with same utility same share not intuitive! blue bus red bus 25% 25% I Page 11
12 NESTED MODE CHOICE IN THE TOUR-BASED DEMAND MODEL (VISEM) root PrT motorized car carsharing PuT Non-motorized ridewalk sharing metro bus bike I Page 12
13 NESTED MODE CHOICE IN THE TOUR-BASED DEMAND MODEL (VISEM) root PrT motorized car carsharing PuT Non-motorized ridewalk sharing metro bus bike I Page 13
14 P&R WITH CAPACITIES AND P&R-SITE CHOICE Input Capacity of each P&R site (i.e. zone) Volume-delay function type for each zone & volume-delay function definition in the general procedure settings (t0 = 1s) Demand matrix PrT & PuT skims (e.g. travel times) Output: Skims For mode choice Matrices for PrT & PuT for assignment I Page 14
15 P&R WITH CAPACITIES AND P&R-SITE CHOICE I Page 15
16 PATH-LEVEL ATTRIBUTES IN STOCHASTIC ASSIGNMENTS Assignment usually work on a link/turn/connector-level, but: For bicycle research suggests path level attributes, e.g. max slope For freight assignment cost functions are not linear (often declining over distance) I Page 16
17 PATH-LEVEL ATTRIBUTES IN STOCHASTIC ASSIGNMENTS Assignment usually work on a link/turn/connector-level, but: For bicycle research suggests path level attributes, e.g. max slope For freight assignment cost functions are not linear (often declining over distance) Solution: Path-level attributes in stochastic assignments I Page 17
18 REPORTING TRAVEL TIMES travel time tcur-prtsys (C) [s] East - West Census 2 4 path length [km] Model Census +15% 6 Page 18 Census I-15% 8
19 DATA MODEL PUBLIC TRANSPORT Coupling on vehicle journey level Couplings represent portions of multiple vehicle journeys conducted in common In PTV Visum 14 and earlier this was based on time profiles not on vehicle journeys Main effects: Easier to understand More situations can be represented (e.g better imports from HAFAS, railml) Vehicle journeys can now end within coupling sections I Page 19
20 DATA MODEL PUBLIC TRANSPORT Passenger trip chains Two vehicle journey of different lines are served by the same physical vehicle, e.g. InterCity train become regional train change of tariff system etc., but no transfer Same vehicle serves two successive trips of two different lines no transfer Transfer Timetable view: Passenger view: InterCity Regional Train InterCity Regional Train No transfer I Page 20
21 DATA MODEL PUBLIC TRANSPORT Passenger trip chains Two vehicle journey of different lines are served by the same physical vehicle, e.g. InterCity train become regional train change of tariff system etc., but no transfer Same vehicle serves two successive trips of two different lines no transfer Main effects: Assignment: No transfer, additional ride time instead of transfer wait time. Shortest-path search / Flow bundle: No transfer Importer: HAFAS, railml, GTFS I Page 21
22 GRAPHICS COMFORT FUNCTIONS Route Course FULL FLEXIBILITY I Page 22
23 GRAPHICS COMFORT FUNCTIONS Route Course Isochrones LINK ISOCHRONES 2D DISPLAY FLEXIBLE NUMBER OF CLASSES I Page 23
24 GRAPHICS Route Course Isochrones Diagrams I Page 24
25 GRAPHICS Route Course Isochrones Diagrams Legend Schematic Line Diagram I Page 25
26 EFFICIENCY Formulas Strings formulas TableLookup Matrix references Scenario Management I Page 26
27 EFFICIENCY Formulas Strings formulas TableLookup Matrix references Scenario Management I Page 27
28 EFFICIENCY Formulas Strings formulas TableLookup Matrix references Scenario Management I Page 28
29 EFFICIENCY Formulas Strings formulas AUTOMATIC LOG BOOK ENTRIES TableLookup Matrix references Scenario Management IMPORT/EXPORT OF PARTIAL PROJECTS Automatic Log book Import/export of partial projects Password protection Cache and pause editing modifications I Page 29
30 INTERFACES GPX importer I Page 30
31 INTERFACES GPX importer I Page 31
32 INTERFACES GPX importer GTFS exporter Others: RailML: Update for the new format 2.2 Personal geo database: Update to ArcGIS versions 10.1 to OSM-Import: handling of parallel links HAFAS: Several updates such as 6-digit train numbers. I Page 32
33 MISCELLANEOUS Some features have been removed: TModel import. NEMA signal controllers GPS Tracking New Licensing ( separate information) I Page 33
34 PTV VISUM WHAT IS NEXT Release PTV Visum 15: End of July 2015 PTV Visum 16 / Future Really quick headway based assignment Meso directly in PTV Visum HCM 2015 Mobility sharing Complete procedure xml you tell us I Page 34
35 I Page 35
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