Integrated Transport Model of Thuringia

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Transcription:

Florian M. Heinitz, Diana Pataki Nagy Integrated Transport Model of Thuringia Guest Lecture, KTI Budapest, 6 May 2010

Outline Introduction Supply Side Modelling Demand Side Modelling Application Projects Integrated Transport Model of Thuringia 1

Outline Introduction Supply Side Modelling Demand Side Modelling Application Projects Integrated Transport Model of Thuringia 2

Land of Thuringia Integrated Transport Model of Thuringia

Integrated Transport Model of Thuringia

Model s Evolution History Reunification: Structural interruption / New planning law External consulting firms take over ( - 2006) Data and know-how scattered across Germany Transport mode-specific applications Need for a non-profit, state-wide clearing house: Hosting, advisory & development Vision: Public(ly funded) research and teaching platform Integrated Transport Model of Thuringia 5

Project Approach Administration Analyses and forecasts of network load pattern and studies based on this Academics Planning Tasks Development Rights Reporting Small-Scale Studies Model operation agreement, data provision, verification Research and Education, Working Capacities and Infrastructural Prerequisites Engineering Consultants Further Cooperation Partners Integrated Transport Model of Thuringia 6

Partners Department of Transport State-Run Public Regional Transport Services Research Group (Heinitz) State Road Construction Authority Integrated Transport Model of Thuringia 7

Foundations: Traffic Cells Within Thuringia 1.175 traffic cells Outside Thuringia 321+ traffic cells Integrated Transport Model of Thuringia 8

Foundations: Traffic Cells Integrated Transport Model of Thuringia 9

Supply - Demand Interaction Transport Model Supply Supply Model Model Supply Model Demand Model OD Matrix for Network Assignment Performance Indicators, Load Pattern Integrated Transport Model of Thuringia 10

Outline Introduction Supply Side Modelling Demand Side Modelling Application Projects Integrated Transport Model of Thuringia 11

Supply Side Modelling Infrastructure and Supply Data Network Objects (road and railway network, lines, zones,...), Transport Network Characteristics, Timetables,... Generation and editing with the transport planning program VISUM Supply Model Transport Network with the Transport Supply Route Search Optimal path determination for all origin-destination relations. OD Matrix for Network Assignment Performance Indicators, Load Pattern Structural and Mobility Data Data on: inhabitants, household types, jobs, students, area of sales floor,... Trips rates, Trip length distributions Modal split by trip purpose, Car occupancy rate,... Calculation by own-programmed tool Demand Model Trip Generation Calculation of the total demand from/to traffic cell. Modal Choice Break down the total demand into the individual transport modes. Trip Distribution Destination choice: calculation of the demand matrix (OD matrix). Integrated Transport Model of Thuringia 12

Supply Model Network Objects Transport Network/ Supply Data (Model Representation) Basic Network Objects Territories Traffic zones Links Nodes Turns Connectors Public Transport Network Objects Stops Lines Public transport operators Vehicle units Ticket types Fare zones General Network Objects Points of interest Traffic counter locations Floating Car Detectors GIS objects Illustrates the network topology Used to model public transport networks Supplement to transport networks Integrated Transport Model of Thuringia 13

Supply Model Network Objects VISUM Graphics: Territories Within Thuringia: 2.732 villages/ towns 951 municipalities Integrated Transport Model of Thuringia 14

Supply Model Network Objects VISUM Graphics: Railway Network Within Thuringia ca. 1.500 km Integrated Transport Model of Thuringia 15

Supply Model Network Objects VISUM Graphics: Classified Road Network Motorway Federal Road State Road District Road Municipal Road Integrated Transport Model of Thuringia 16

Supply Model Network Objects Integrated Transport Model of Thuringia 17

Supply Model Network Objects VISUM Graphics: Connectors Integrated Transport Model of Thuringia 18

Supply Model Network Objects VISUM Graphics: Stop Points H Bus Stop Tram Stop Bus and Tram Stop Train Station Integrated Transport Model of Thuringia 19

Hierarchical Encoding of Supply Particular characteristics of modelling with VISUM: Line hierarchy Line Line number and operator All these levels together provide the timetable. Line route (line route course) Path and distance between route or stop points Time profile (time profile course) Run time between stop points, Stop time on stop points Vehicle journey Vehicle journey section Departure time, Start and end stop point Departure time, Valid days, Vehicle unit/ combination, Start and end stop point Integrated Transport Model of Thuringia 20

Hierarchical Encoding of Supply Bus line: EVAG 92 Example: Line route course Line route: 1 Integrated Transport Model of Thuringia 21

Hierarchical Encoding of Supply Bus line: EVAG 92 Example: Line route course Line route: 10 Integrated Transport Model of Thuringia 22

Hierarchical Encoding of Supply Example: Time profile course Line route course Time profile course Integrated Transport Model of Thuringia 23

Hierarchical Encoding of Supply Example: Vehicle journeys Timetable Editor Basic Information Vehicle Journeys Integrated Transport Model of Thuringia 24

Deployment of Timetable Information Lines with line routes, time profiles and vehicle journeys can be generated in VISUM: manually or by importing timetable data files. To the submodel of public transport for Thuringia data of the Travel Information System of DB German Railways are used: this system includes timetable information by train and also by bus and by tram, It allows an intermodal search for connections (by train, bus and tram). DB s Travel Information System is publicly available at www.bahn.de. Integrated Transport Model of Thuringia 25

Deployment of Timetable Information Timetable Information System of German Railway company Integrated Transport Model of Thuringia 26

Deployment of Timetable Information Start Connection by bus and regional train Destination Integrated Transport Model of Thuringia 27

Deployment of Timetable Information Start Connection by bus and tram Destination Integrated Transport Model of Thuringia 28

Deployment of Timetable Information Start Connection by bus and regional train Destination Integrated Transport Model of Thuringia 29

Accessing Timetable Information DB s Travel Information system: is based on the timetable information system HAFAS of the software vendor HaCon, is using so-called HAFAS data. HAFAS data have a special data format the HAFAS raw data format. It consists of many text files with a fixed column format. Basic Data Files Transport Types, Stop Directory, Stop Coordinates, Timetable Period Data, Valid Days of Trips, Operator Data Timetable files Bus Timetable, Tram Timetable, Railway Timetable All these files of HAFAS data are necessary to generate lines with VISUM. Integrated Transport Model of Thuringia 30

Accessing Timetable Information HAFAS raw data format (examples) Integrated Transport Model of Thuringia 31

Integration of Timetable Information VISUM includes a HAFAS-interface: enable users to import data sets in HAFAS raw data format into VISUM. Integrated Transport Model of Thuringia 32

Integration of Timetable Information The generated network contains: Nodes with assigned stop points, Direct distance links between the stops, Lines, Line routes, Time profiles, Valid days, Vehicle journeys. Integrated Transport Model of Thuringia 33

Integration of Timetable Information 1. Stop points are integrated into the network : Insertion the nodes with the assigned stop point on network nodes or on network links. Importing this network data into the existing network file 2. The complete line hierarchy is integrated into the network: Using a shortest path search for implementation: the shortest paths between stops are searched for using the transport network, it is done on the basis of the timetable. The generated network contains: Nodes with assigned stop points, Direct distance links between the stops, Lines, Line routes, Time profiles, Valid days, Vehicle journeys. Integrated Transport Model of Thuringia 34

Sub-Systems of Public Transport Sub-Systems Allocation of transport systems to network objects (e.g. links, turns, nodes, stops) Bus (city bus, regional bus) Tram Regional trains (DB) (Regional express train, Regional Train) Regional trains (non-db) (e.g. STB Regional train) Inter-City Trains (Intercity train, Intercity Express train, Euro Night train) Integrated Transport Model of Thuringia 35

Regional vs. Inter-City Travel Sub-Systems Scope of Supply Model Demand Segments Bus Work Commuting Matrix (city bus, regional bus) Tram Public Transport Education / Study Matrix Regional Trains (DB) (Regional express train, Regional Train) Regional Trains (non-db) (e.g. STB Regional train) Regional Division Public Transport Regional and Long Distance Division Business / Duty Escorting Others Private trips Matrix Matrix Matrix Inter-City Trains Shopping Matrix (Intercity train, Intercity Express train, Euro Night train) Leisure / Holiday Matrix Integrated Transport Model of Thuringia 36

Public Transport Supply in Thuringia Bus Service is provided by 30 local public transport companies Tram service is provided by 5 local public transport companies Operational areas of public transport companies within Thuringia Local transport supply in Thuringia: ca. 880 bus lines ca. 20 tram lines Integrated Transport Model of Thuringia 37

Public Transport Supply in Thuringia Federal railway company Non-federal railway companies Deutsche Bahn AG (German Railway company) Long Distance Division Regional Division Erfurter Bahn GmbH Süd-Thüringen-Bahn GmbH Vogtlandbahn GmbH Harzer Schmalspurbahnen GmbH Cantus Verkehrsgesellschaft mbh... Trans-regional transport supply... Regional transport supply... Regional transport supply 2 IC-lines 15 RE-lines 11 RB-lines (in total) 2 ICE-lines 24 RB-lines 1 Euro-Night-line 1 City-Night-line Integrated Transport Model of Thuringia 38

Public Transport Supply in Thuringia Network of IC and ICE lines in Thuringia of German Railway Company Network of Regional Train lines in Thuringia of German Railway company Network of Regional Express lines in Thuringia of German Railway Company Network of Regional Train lines in Thuringia of other railway companies Integrated Transport Model of Thuringia 39

Using of Passenger Surveys Passenger Surveys RES continuous passenger survey by DB Specific passenger surveys by other companies Passenger Surveys: Contain information to: the number of boarding and disboarding passengers and data of train/ bus occupancy. Are necessary to the calibration of the transport model: links and line routes can be attributed with the number of boarding passengers and disboarding passengers. Integrated Transport Model of Thuringia 40

Road Network Modelling VISUM Graphics: Load Pattern Depiction Integrated Transport Model of Thuringia 41

Road Network Modelling VISUM Graphics: Flows at Intersections Integrated Transport Model of Thuringia 42

Outline Introduction Supply Side Modelling Demand Side Modelling Application Projects Integrated Transport Model of Thuringia 43

Demand Side Modelling Infrastructure and supply data Network Objects (road and railway network, lines, zones,...), Transport Network Characteristics, Timetables,... Generation and editing with the transport planning program VISUM Supply model Transport Network with the transport supply Route search Optimal path determination for all origin-destination relations. OD matrix for Network Assignment Performance Indicators, Load Pattern Structural and mobility data Data on: inhabitants, household types, jobs, students, area of sales floor,... Trips rates, Trip length distributions Modal split by trip purpose, Car occupancy rate,... Calculation by own-programmed tool Demand model Trip Generation Calculation of the total demand from/to traffic cell. Modal Choice Break down the total demand into the individual transport modes. Trip Distribution Destination choice: calculation of the demand matrix (OD matrix). Integrated Transport Model of Thuringia 44

Modelling Approach Segmentation by household types (9) and trip purposes (8) Trip-end instead of Trip-interchange Quantity structure from recent household surveys Generation / M.Split: Accompanying econometric modelling Trip Distribution: Estimated destination traffic +MULTI Algorithm Route choice / successive network assignment Integrated Transport Model of Thuringia 45

Trip-Interchange Approach Which route? Which mean of transport? Where to? How often? Integrated Transport Model of Thuringia 46 The Four-Step Rocket

Trip-End Approach Which route? Where to? Which mean of transport? How often? Integrated Transport Model of Thuringia 47 The Four-Step Rocket

Demand Side Modelling User Interface Integrated Transport Model of Thuringia 48

Overall View Infrastructure and supply data Network Objects (road and railway network, lines, zones,...), Transport Network Characteristics, Timetables,... Generation and editing with the transport planning program VISUM Supply model Transport Network with the transport supply Route search Optimal path determination for all origin-destination relations. OD matrix for Network Assignment Performance Indicators, Load Pattern Structural and mobility data Data on: inhabitants, household types, jobs, students, area of sales floor,... Trips rates, Trip length distributions Modal split by trip purpose, Car occupancy rate,... Calculation by own-programmed tool Demand model Trip Generation Calculation of the total demand from/to traffic cell. Modal Choice Break down the total demand into the individual transport modes. Trip Distribution Destination choice: calculation of the demand matrix (OD matrix). Integrated Transport Model of Thuringia 49

Outline Introduction Supply Side Modelling Demand Side Modelling Application Projects Integrated Transport Model of Thuringia 50

Selected Application Projects Cost-benefit analysis of road projects Scheduling of state road remodelling measures Tender of regional railway operations concessions Occupancy prediction for truck (and carpool) parking sites Environmental issues: - Landscape fragmentation - Noise imission register - CO 2 offset policies Integrated Transport Model of Thuringia 51

THANK YOU FOR YOUR ATTENTION. heinitz@fh-erfurt.de diana.pataki@fh-erfurt.de www.verkehr-und-raum.de Integrated Transport Model of Thuringia