session 21 andreas tapani

21
Trafiksimulering för utvärdering av fordonsbaserade ITS- tillämpningar Andreas Tapani

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Page 1: Session 21 Andreas Tapani

Trafiksimulering för utvärdering av fordonsbaserade ITS-tillämpningarAndreas Tapani

Page 2: Session 21 Andreas Tapani

Förarstöd och andra ITS

Vilka blir effekterna?

Trafiksimulering ger svar!

Page 3: Session 21 Andreas Tapani

Trafiksimulering för utvärdering av fordonsbaserade ITS

Traditionell trafiksimulering. Studier av framkomlighet vid olika:

Trafikstyning Vägutformning (nät, enskilda länkar/korsningar)

Trafiksimulering för utvärdering av fordonsbaserade ITS: ITS funktionalitet Skillnader i förar/fordonsbeteende Ytterligare tillämpningsområden (säkerhet, miljö)

Page 4: Session 21 Andreas Tapani

Trafiksimulering för utvärdering av fordonsbaserade ITS

Page 5: Session 21 Andreas Tapani

Trafiksimulering för utvärdering av fordonsbaserade ITS

Trafiksimulering av fordonsbaserade ITS:

Mera detaljerade och flexibla förar/fordonsmodeller!?

Page 6: Session 21 Andreas Tapani

Analysis of rumble strips and driver fatigue

Infrastructure-based milled rumble strips

Vehicle-based ”virtual” rumble strips

Page 7: Session 21 Andreas Tapani

Sleep deprived drivers accepted 4 % shorter distances to the closest oncoming

Average reaction time:Alert drivers 1.47 sSleep deprived drivers 1.63 s

Individual driver behaviour

Observations from a driving simulator study:

Alert and sleep deprived driving

Driving speed in free driving conditions Car-following reaction times Distance to oncoming vehicles at the

start of overtaking

Page 8: Session 21 Andreas Tapani

Modelling rumble strips and driver fatigue

Rumble strips on two-lane highways: The simulation model must allow modelling of two-lane

highways The RuTSim model

Modelling of rumble strips and driver fatigue in RuTSim by modification of:

Desired speeds Reaction times Overtaking probabilities

Page 9: Session 21 Andreas Tapani

Performance indicators

Average journey speed

Time-to-collision based safety indicators(with respect to oncoming vehicles during overtaking situations)

TTC

t

+ = TETi

TITi

TTC*

Page 10: Session 21 Andreas Tapani

RuTSim simulations

Driver behaviour data and road alignment from the driving simulator study

Simulations of traffic with No rumble strip Milled Rumble strip In-vehicle rumble strip Varying percentages of sleep deprived drivers

Page 11: Session 21 Andreas Tapani

0 5 10 2590

91

92

93

94

95(a) No rumble strip

Alert

Sleep deprived

0 5 10 2590

91

92

93

94

95(b) Milled rumble strip

Ave

rage

jour

ney

spee

d [k

m/h

]

0 5 10 2590

91

92

93

94

95(c) In-vehicle virtual rumble strip

Percentage of sleep deprived drivers [%]

0 5 10 253

3.5

4

4.5

5(a) No rumble strip

Alert

Sleep deprived

0 5 10 253

3.5

4

4.5

5(b) Milled rumble strip

Ave

rage

TET

[s]

0 5 10 253

3.5

4

4.5

5(c) In-vehicle virtual rumble strip

Percentage of sleep deprived drivers [%]

0 5 10 25

6

7

8

(a) No rumble strip

Alert

Sleep deprived

0 5 10 25

6

7

8

(b) Milled rumble strip

Ave

rage

TIT

[s2 ]

0 5 10 25

6

7

8

(c) In-vehicle virtual rumble strip

Percentage of sleep deprived drivers [%]

Results

Page 12: Session 21 Andreas Tapani

050

100150200250300350400450500550600650700750

0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20

t [s]

x [m

]

overtaker

preceding

opposing

opposing

Effekter av en ”omkörningsassistent”

Page 13: Session 21 Andreas Tapani

Overtaking Assistant on the N305

Almere - Zeewolde, 15 km long, 8 m wide

1. Current situation2. Overtaking Assistant threshold3. Overtaking Assistant penetration level

The Overtaking Assistant in RuTSim: Changed driver willingness to overtake Calculate time to oncoming vehicle, commence overtaking if

longer than the assistant threshold

Page 14: Session 21 Andreas Tapani

510 25 50 1005

10

15

20

25

30

35

40

Assistant penetration level [%]

OF

[#

/ (km

h

1000

veh

]

A-Z

510 25 50 1005

10

15

20

25

30

35

40

Assistant penetration level [%]

Z-A

Assisted

Non-assisted

8 9.5 11 12.5 14

10

20

30

40

A-Z

Assistant threshold [s]

OF

[#

/ (km

h

1000

veh

]

8 9.5 11 12.5 140

10

20

30

40

Assistant threshold [s]

Z-A

Assisted

Non-assisted

Resultat (exempel)

Page 15: Session 21 Andreas Tapani

Simulering av trafik i olika regioner

Skillnader mellan geografiska (kulturella) områden Olika regler Olika beteende

Risk för ogiltiga modellantaganden

Page 16: Session 21 Andreas Tapani

Vehicle Trajectory Impacts of Adaptive Cruise Control

Adaptive Cruise Control (ACC): fixed speed cruise control extended with a distance controller

ACC is primarily marketed as a system for increased driver comfort

ACC has a potential to influence:● Capacity?● Safety?● Traffic’s environmental impact?

Page 17: Session 21 Andreas Tapani

Studies of ACC

Driver behaviour in ACC-equipped vehicles

● Reduced attention

● Over-reliance on the system

● Changes in speeds and desired following distances

Effects of ACC on the traffic system

● Traffic simulation based analyses Capacity and speeds

Page 18: Session 21 Andreas Tapani

This study

Impacts of ACC on vehicle acceleration and deceleration rates Simulation of mixed traffic including

ACC-equipped and standard vehicles Consequences of observed driver behavioural changes

Car-following modelling of ACC-equipped and standard vehicles:

ACC-vehicles: (IDM, Treiber et al. 2000)

Standard vehicles: (HDM, Treiber et al. 2006)

• IDM + human reaction delays, anticipation and perception errors

• Full speed range ACC – system limitations and driver acceptance is not considered

Page 19: Session 21 Andreas Tapani

An indicator of vehicle trajectory smoothness

Acceleration noise (ACN)

Page 20: Session 21 Andreas Tapani

ACN for ACC-equipped and standard vehicles

Equal desired following distancesand speeds for ACC-equipped and standard vehicles

Page 21: Session 21 Andreas Tapani

Sammanfattning

● Trafiksimulering ger möjlighet att analysera trafiksystemeffekter av förarstöd och andra ITS

● ITS-tillämpningens funktionalitet och inverkan på förarbeteendet påverkar simuleringsresultaten

● Fortsatt forskning Förarbeteende och trafiksimulering Sambandet mellan simuleringsbaserade indikatorer och

effekter i verklig trafik “Co-operative systems”