Upload
debra-gibson
View
217
Download
0
Tags:
Embed Size (px)
Citation preview
Young Researchers Seminar 2011DTU, Denmark, June 8 - 10, 2011
Young Researchers Seminar 2013Lyon, France , June 5-7 2013
Evaluation of V2I TechnologiesHow to Adjust Cost-Benefit-Analyses (CBA) to ITS?
Dipl.-Ing. Wolfgang NiebelGerman Aerospace Center (DLR),
Institute of Transportation systems
2
Content
•Evaluation Cost-Benefit-Analyses•V2I Technologies Cooperative ITS•Adjustments CBA with Microsimulation•Results ? •Outlook Future Research
Evaluation of V2I Technologies
3
Introduction
Evaluation of V2I Technologies
l = 1 km
q = 15.000 veh/dv = 20 km/ht = 3 min
4
Introduction
Evaluation of V2I Technologies
l = 1,7 kmq = 15.000 veh/dv = 50 km/ht = 2 min t = 1 min
5
CBA in Road Projects
Evaluation of V2I Technologies
Global Goals Benefit Criteria
1. Mobility a) Vehicle Travel Time
b) Pedestrians and Bike Delay Time
2. Resource Efficiency c) Vehicle Operation + Maintenance
Vehicle Occupancy Rate
3. Environment Friendliness d) Pollutant Immissions (NOx, CO, HC, PA)
e) Climate Gas Emission (CO2)
f) Noise Immissions
g) Fuel Consumption
4. Safety h) Accidents and Fatalities
6
V2I Technologies in
•Cooperative ITS + ADAS (ACC)
GLOSA
Evaluation of V2I Technologies
7
Adjustments: Scale of Model
Evaluation of V2I Technologies
8
Adjustments: Cooperative ITS
Evaluation of V2I Technologies
Scenario Traffic Control C2I Rate Tailback Estimation
Vehicle Approach Control
Base Line Status Quo 0% Test 1 KOLINE Optimiser
Test 2 KOLINE Optimiser 5%
detectors + vehicle data
Test 3 ‘‘ 15%Test 4 ‘‘ 25%Test 5 ‘‘
35%Test 6 ‘‘ +lateral control
Test 8 ‘‘ API: SignalPlan.csv,DetectorCounts.csv <300m Ø
API:TRANSfusion.jar
→Desired speed→Forced lane change
9
Adjustments: Extrapolation
Evaluation of V2I Technologies
„Modelling traffic as a stochastical system [rather than as deterministic chaos] seems more plausible to me.“(Prof. Dr. Dr. Reinhard Selten, Nobel Prize Economy 1994)
10
Extrapolation I: Stochastics
Evaluation of V2I Technologies
0 20 40 60 80 100 120 140 160 18020
25
30
35
40
45
50
55
60
65
flow [veh/h]
mea
n tr
avel
time
[s/v
eh]
count:
1
1
1
2
2
=7
nsim= 17
n =1.088
nclassx=14+1
nclassy=7+1
11
Extrapolation II: Probability
Evaluation of V2I Technologies
20 30 40 50 60 70 80 90 100 110 120 130 140 150 1600%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
>55
55
50
45
40
35
30
25
flow [veh/h] (upper class limit)
prob
abili
ty o
f tra
vel ti
mes
[s]
14,3%
14,3%
14,3%
28,6%
28,6%
12
Workdays [d/a]
count 14 48 77 48 14 201
factor 0,91 0,95 1,0 1,05 1,09
ADTw:2.000 1.820 1.900 2.000 2.100 2.180
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 240
50
100
150
200
250
DTVmaxDTVw1,05DTVw1,0DTVw0,95DTVw0,91DTVmin
hour
flow
[veh
/h]
Extrapolation III: Load Curves
Evaluation of V2I Technologies
13
Extrapolation IV: Relevant Hours
Evaluation of V2I Technologies
Daytype Day count Hours @ q=20 [h/a]
Workdays1,0 77 5 385
Sundays and public holidays1,0 25 2 50
435
Travel time interval Probability
]25,30]s 28,6% 124
]30,35]s 28,6% 124
]35,40]s 14,3% 62
]40,45]s 14,3% 62
]45,50]s 14,3% 62
14Evaluation of V2I Technologies
Results I
Criteria Impact
a) Vehicle Travel Time [26,78] %
c) Vehicle Operation incl. (g) Fuel Consumption [17,57] %
e) Climate Gas Emission (CO2) [5,17] %
b) Pedestrians Delay Time 0 %
d) Pollutant Immissions (NOx, CO, HC, PA) 0 %
15Evaluation of V2I Technologies
Results II
Scenario Number of passed nodes nN
1 2 3 4 5Test1 172,0Test2 0,8 1,6 2,4 3,1 3,8Test3 0,9 1,7 2,5 3,2 4,0Test4 0,8 1,6 2,3 3,0 3,7Test5 0,8 1,6 2,4 3,2 3,9Test8 0,9 1,7 2,5 3,3 4,1
16
Outlook
Evaluation of V2I Technologies
•Extrapolation other criteria?•Bayesian Network q(t-1)v(t)▫Travel time : workdays sundays▫Different probability distribution?
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 240
50
100
150
200
250
hour
flow
[veh
/h]
17
AcknowledgementsThe KOLINE project was granted by the German Federal Ministry of Economics and Technology (BMWi) according to a decision of the German Federal Parliament within the 3rd transport research framework “Mobility and Transport Technologies”.
Project partners:• TU Braunschweig
▫ Institute of Transportation and Urban Engineering▫ Institute of Control Engineering
• Institut für Automation und Kommunikation e.V. Magdeburg (ifak),• Transver GmbH Munich,• Volkswagen AG Wolfsburg (VW)
Evaluation of V2I Technologies