simulation and real time applications - ptv-group · 14 ptv sab-meeting at trb jan10-2017;...

PTV SAB-meeting at TRB jan10-2017; Fellendorf1

1S C I E N C E P A S S I O N T E C H N O L O G Y

u www.tugraz.at

PTV Scientific Advisory Board

Winter seminar meeting

Simulation and Real Time Applications

Martin FELLENDORF; Prof., Dr.

Washington, Jan 10th 2017


2 SAB-relevant CV Martin Fellendorf Born 1960 in Hildesheim, Germany

1980-1986 MSc in industrial engíneering (computer science

& OR) at Technical University Karlsruhe (now KIT)

1986-1991 research assistant at Institut für Verkehrswesen in Karlsruhe; PhD

on Traffic signal coordination (Supervisor R Wiedemann & R Allsop)

enhanced IfV-simulation MISSION with L Kautzsch and P Vortisch

1991 – 2005 at PTV system (later PTV AG) at different positions with highlights

• started with own signal optimization software VISSIG (successful in German speaking

countries until mid-90 but lost later against Schlothauer Lisa+)

• took Vissig income to develop Vissim with Lukas and some master students

• 1993 first DOS-based Vissim with actuated signal control as key feature

• until late 90s emphasis on Vissim development and international marketing of Vissim &

Visum with parallel worldwide sample projects to support development & marketing

• since late 90s „product management“ together with K Nökel of Visum-online with path-

flow-estimator from Mike Bell; key installations Hannover 1999+, Berlin 2002+, Ruhr-

pilot, Dubai 2003+,

and some other project-oriented products like SimTrap (EU), TrafficCountManagement

05/2005 full professor at Graz University of Technology

2007-2014 dean of the faculty of civil engineering

since 2015 president of FSV (Austrian research association on road,

rail and transport similar to a small TRB or FGSV)


3 Professional, academic carreer

leads institute for transport planning and traffic engineering isv.tugraz.at

13 PhD-students (10 full time research employees)

transport planning –(practical) applications such as urban ropeway,

electric vehicles, bike sharing (stated preference survey & MNL),

traffic engineering & big data (traffic signal optimization and

simulation, statistical data analysis of point data and FCD, traffic flow

modeling on urban roads and motorways)

traffic & environment: road&rail noise modeling, (Inter-noise), air

pollution modelling (HBEFA, PHEM developed in Graz)

Key items:

national big data (ASFINAG motorway 1min counts; A1 mobile

phone data

knowledge of many software products and open source develop.

reviewer for Transp.Sci. C,D ; TRB; WCTR;

(psycho-accustic laboratory)


4Simulation of connected & automated vehicles

Using driver.dll and C2X COM functions in Vissim


5Traffic Simulation and driving simulator (FASI)

Driving simulator at Institute for

vehicle technology

Linked with Vissim in order to

Realistic traffic scenes produced

easily without cumbersome

definition of surrounding vehicle

trajectories

Feedback loop between the

driver and neighbouring vehicles

Various tests on ACC (SAE2),

lane chauffeur (SAE3) and

driver behaviour


6Specific research activities: emissions measurement

Development of PHEM at TU Graz (Hausberger etal)

(microscale emission modelling, basis for HBEFA for the EU)

Linking VISSIM and PHEM

engine maps

Engine load, Fuel

consumption, Emissions

Transient correction functions

Cold start module

PHEM – Passenger car and Heavy duty Emission Model

-0 .20.0

0.20.4

0.60.8

1.0

Pe/P_rated 0.0

0.2

0 .4

0.6

0.8

1.0

n_norm

1

2

3

4

5

6

7

NO

x[(g

/h)/

kW

_ra

ted

po

we

r]

Gear-

shift

model

Driving resistances &

transmission losses

engine maps

Engine load, Fuel



Cold start module


-0 .20.0

0.20.4

0.60.8

1.0

Pe/P_rated 0.0

0.2

0 .4

0.6

0.8

1.0

n_norm

1

2

3

4

5

6

7

NO

x[(g

/h)/

kW

_ra

ted

po

we

r]

Gear-

shift

model


transmission losses

engine maps

Engine load, Fuel



Cold start module

Engine load, Fuel



Cold start module


-0 .20.0

0.20.4

0.60.8

1.0

Pe/P_rated 0.0

0.2

0 .4

0.6

0.8

1.0

n_norm

1

2

3

4

5

6

7

NO

x[(g

/h)/

kW

_ra

ted

po

we

r]

-0 .20.0

0.20.4

0.60.8

1.0

Pe/P_rated 0.0

0.2

0 .4

0.6

0.8

1.0

n_norm

1

2

3

4

5

6

7

NO

x[(g

/h)/

kW

_ra

ted

po

we

r]

Gear-

shift

model

Gear-

shift

model


transmission losses


transmission losses

Transient engine mapsTransient engine mapsengine maps

Engine load, Fuel



Cold start module


-0 .20.0

0.20.4

0.60.8

1.0

Pe/P_rated 0.0

0.2

0 .4

0.6

0.8

1.0

n_norm

1

2

3

4

5

6

7

NO

x[(g

/h)/

kW

_ra

ted

po

we

r]

Gear-

shift

model


transmission losses

engine maps

Engine load, Fuel



Cold start module


-0 .20.0

0.20.4

0.60.8

1.0

Pe/P_rated 0.0

0.2

0 .4

0.6

0.8

1.0

n_norm

1

2

3

4

5

6

7

NO

x[(g

/h)/

kW

_ra

ted

po

we

r]

Gear-

shift

model


transmission losses

engine maps

Engine load, Fuel



Cold start module

Engine load, Fuel



Cold start module


-0 .20.0

0.20.4

0.60.8

1.0

Pe/P_rated 0.0

0.2

0 .4

0.6

0.8

1.0

n_norm

1

2

3

4

5

6

7

NO

x[(g

/h)/

kW

_ra

ted

po

we

r]

-0 .20.0

0.20.4

0.60.8

1.0

Pe/P_rated 0.0

0.2

0 .4

0.6

0.8

1.0

n_norm

1

2

3

4

5

6

7

NO

x[(g

/h)/

kW

_ra

ted

po

we

r]

Gear-

shift

model

Gear-

shift

model


transmission losses


transmission losses

Transient engine mapsTransient engine maps

Source: Hausberger, ARTEMIS


7Calibration of microsimulation with empirical data


8Specific research activites: micro simulation & emissions

www.buzzhunt.co.uk-

www.wdr.de

Impact evaluation of emissions

based on trajectory data

Fellendorf, M., Neuhold,

R. and Cik M. (2011)

Typisierung von

Verkehrsbelastungs-

ganglinien


9Specific research activites: micro simulation & emissions


10 Simulation of traffic safety

Vissim and SSAM

Vissim and PC-Crash


11Mobile phone data for OD generation and real time apps

Exclusive data of 40% of all mobile data in Autria since 10/2012 (big

data: now 160 GB per day; set up of Hadoop-Cluster)

Current PhD on mode choice detection (road&rail) with map matching

and real time train schedules


12 Psycho-accoustic laboratory

Different topic but similar methods (big data analysis, multivariate

statistics, surverying people)

Identify annoyance of people imposed by road & rail traffic


13 Team

Noise laboratory,

Big data in transp.

Traffic simulation,

Traffic engineering

Modelling of

Electric vehicle,

bicycle and shared

mobility

Michael Haberl Robert Neuhold Karl Hofer Moshin Balwan

Birigt Kohla Stefan Flucher Alex van Dulmen Cornelia Hebenstreit

Michael Cik Manuel Lienhart Gunnar Schulze


14(offline traffic flow) Simulation – SAB relevant topics

1. Advances in modeling details

car following models

lane changing / merging / tactical maneouvres models

route choice / Dynamic and Stochastic Traffic Assignment

2. Advances in applications of microscopic traffic flow

autonomous driving

Electrical vehicles

3. Advances in interfaces

traffic flow simulation and driving simulators

emission modeling (microscale and mesoscale air polution and noise)

traffic safety (there must be more than just SSAM)


15real time applications – SAB relevant topics

4. road traffic state estimation and forecasting

purely statistical models

(regression analysis of point and/or FC data)

traffic flow models applied such as queuing theory, DTA, ...

specific applications such Traffic Light Information / GLOSA

Other topics not adressed by myself

4. public transport applications

monitoring vehicle postions (AVL) and match with travel demand

seamless payment and travel information (project

5. logistics applications


16S C I E N C E P A S S I O N T E C H N O L O G Y

u www.tugraz.at

PTV Scientific Advisory Board

see you again July 10/11th, 2017 in Karlsruhe

Martin FELLENDORF;

www.isv.tugraz.at

simulation and real time applications - ptv-group · 14 ptv sab-meeting at trb jan10-2017;...

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