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ENERGY AND ENVIRONMENTAL IMPACTS OF ROUTE CHOICE DECISIONSENERGY AND ENVIRONMENTAL IMPACTS OF ROUTE CHOICE DECISIONS
Kyoungho Ahn and Hesham RakhaKyoungho Ahn and Hesham RakhaVirginia Tech Transportation Institute, VPI&SU, Blacksburg, VAVirginia Tech Transportation Institute, VPI&SU, Blacksburg, VA
1. Abstract1. AbstractThe paper investigates the impact of route choice decisions on vehicle energy consumption and emissions using fuel consumption and emission models with second-by-second floating-car GPS data. The study investigates two routes: a faster and longer highway route and a slower and shorter arterial route. The study demonstrates that the faster highway route choice is not always the best route from an environmental and energy consumption perspective. Specifically, the study demonstrates that significant improvements (savings of up to 63, 71, 45, and 20 percent in HC, CO, NOx, and CO2 emissions, respectively) to air quality can be achieved when motorists utilize a slower arterial route although they incur an additional 17 percent in travel time. Moreover, the study demonstrates that energy savings in the range of 23 percent can be achieved by traveling on the slower arterial route. The study also demonstrates that a small portion of the entire trip that involves high engine-load conditions has significant impacts on the total emissions, demonstrating that by minimizing high-emitting driving behavior air quality can be significantly improved.
3. Data Collection3. Data Collection 4. Study Results4. Study Results
2. Introduction2. IntroductionMotorists typically choose routes that minimize their travel time. Drivers may select longer routes if they produce savings in travel time. However, the question that needs addressing is whether taking a longer but faster route can result in energy and air quality improvements. This study investigates the impact of different route choices on vehicle fuel consumption and emission rates using GPS data gathered during the morning commute near a suburb of the Washington, DC metropolitan area. The objective of this study is to investigate the impact of two route choices on vehicle fuel consumption and emission rates. A number of research efforts have attempted to develop traffic assignment models that can enhance the environment. However, these research efforts have utilized simplified mathematical expressions to compute fuel and emission rates based on average link speeds without regarding transient changes in a vehicle’s speed and acceleration levels. To overcome the limitations of current research methods, this study adopted microscopic fuel consumption and emission models using instantaneous speed and acceleration levels.
4.1 Energy and Emission ModelsIn order to estimate emission and fuel consumption using the second-by-second GPS probe vehicle data, the VT-Micro model, the Comprehensive Modal Emissions Model (CMEM), and the Environmental Protection Agency’s (EPA) MOBILE6 model were utilized.
4.2 GPS Data Analysis• Estimated emissions and fuel consumptions on study corridors.
4.3 Case Study with Same Travel Time• Emissions and fuel consumptions with same travel time
•Impacts of high engine-load conditions
Arterial Route
Highway Route
Arterial Route
Highway Route
Highway
Arterial
Diff.
Ave. Travel Time (min)
25.63 29.9 -4.27
95 %tile of Travel time
36.25 37.86
5 %tile of Travel time 23.32 26.23
Std. Dev. of Trav. Time
4.17 5.08 -0.91
Average Speed (km/hr)
85.42 56.62 28.8
Std. Deviation of Speed
10.23 7.91 2.32
95 percentile of Speed
94.16 63.11
5 percentile of Speed 59.26 43.94
Number of Trips 21 18
5. Conclusions 5. Conclusions
3.2 GPS Data CollectionA portable GPS unit, GD30L, manufactured by LAIPAC Technology Inc. was utilized in the study. The GPS unit is designed to record the date, time, vehicle longitude, vehicle latitude, vehicle speed, vehicle heading, and the number of tracking satellites. The GPS floating-car travel data were collected on weekdays (Monday through Friday) between March and May of 2006 using a test vehicle. The trip route (highway or arterial) was randomly selected on the day of data collection. In order to record the aggregate characteristics of traffic flow, the probe vehicle maintained the average speed of the traffic stream.
3.1 Study CorridorA morning commute GPS data were collected in the Northern Virginia area. The arterial route, VA Route 7, extends over 22.6 km (17.25 mi) and covers 32 signalized intersections while the highway route (35.85 km or 22.41 mi) connects two highway sections and two arterial sections with 8 signalized intersections. The study corridors are controlled by a signal system with an optimized cycle length of 180 seconds or 210 seconds depending on the time-of-the-day. Most of the signal cycle time is assigned to the main route, VA 7 and VA 28. The study utilizes GPS data collected under current traffic signal operations on the study sections during the morning commute period.
02468
10
Highway Arterial Highway Arterial Highway Arterial Highway Arterial
VT-Micro(ORNL) Mobile6 CMEM11 CMEM24
HC
(g
)
050
100150200250
Highway Arterial Highway Arterial Highway Arterial Highway Arterial
VT-Micro(ORNL) Mobile6 CMEM11 CMEM24
CO
(g
)
0
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Highway Arterial Highway Arterial Highway Arterial Highway Arterial
VT-Micro(ORNL) Mobile6 CMEM11 CMEM24
NO
x (
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Highway Arterial Highway Arterial Highway Arterial
VT-Micro(ORNL) CMEM11 CMEM24
CO
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g)
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Highway Arterial Highway Arterial Highway Arterial
VT-Micro(ORNL) CMEM11 CMEM24
Fu
el (
l)
02468
10
Highway Arterial Highway Arterial Highway Arterial Highway Arterial
VT-Micro(ORNL) Mobile6 CMEM11 CMEM24
HC
(g
)
050
100150200250300
Highway Arterial Highway Arterial Highway Arterial Highway Arterial
VT-Micro(ORNL) Mobile6 CMEM11 CMEM24
CO
(g
)
0
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Highway Arterial Highway Arterial Highway Arterial Highway Arterial
VT-Micro(ORNL) Mobile6 CMEM11 CMEM24
NO
x (g
)
0
2000
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Highway Arterial Highway Arterial Highway Arterial
VT-Micro(ORNL) CMEM11 CMEM24
CO
2 (
g)
0
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4
5
Highway Arterial Highway Arterial Highway Arterial
VT-Micro(ORNL) CMEM11 CMEM24
Fu
el (
l)
HC CO NOx CO2 Fuel
VT-Micro(ORNL) Highway
Top 1 % 16 % 19 % 4 % 3 % 4 %
Top 2 % 24 % 30 % 7 % 6 % 7 %
Top 5 % 39 % 47 % 17 % 13 % 14 %
Top 10 % 54 % 64 % 32 % 23 % 25 %
VT-Micro(ORNL) Arterial
Top 1 % 15 % 20 % 5 % 3 % 4 %
Top 2 % 21 % 29 % 9 % 6 % 7 %
Top 5 % 34 % 45 % 21 % 13 % 14 %
Top 10 % 47 % 60 % 37 % 24 % 25 %
CMEM24 Highway
Top 1 % 20 % 38 % 30 % 3 % 5 %
Top 2 % 32 % 63 % 50 % 6 % 9 %
Top 5 % 52 % 80 % 73 % 14 % 17 %
Top 10 % 81 % 84 % 90 % 25 % 28 %
CMEM24 Arterial
Top 1 % 31 % 63 % 55 % 4 % 5 %
Top 2 % 47 % 66 % 64 % 7 % 8 %
Top 5 % 90 % 71 % 89 % 15 % 16 %
Top 10 % 100 % 77 % 100 % 26 % 27 %
This study demonstrates that a UE or SO traffic assignment does not necessarily minimize vehicle fuel consumption and emissions based on second-by-second GPS commute field data. The study demonstrates that, for the specific example illustration, motorists could save 17 percent in travel time on highway travel over travel on an arterial route. However, significant improvements (savings up to 63, 71, 45, and 20 percent of emissions for HC, CO, NOX, and CO2, respectively) to air quality are observed when motorists utilize the slower
arterial route. Moreover, the study found that 23 percent of energy cost can be saved when motorists sacrifice 17 percent of travel time by traveling on the arterial route. Finally, the study demonstrated that a small portion of the entire trip (10 percent) that involves operation at high engine loads can produce up to 50 percent of the total trip emissions and consume up to 25 percent of the total trip fuel consumption. Consequently, significant improvements in air quality and energy consumption are achievable by educating drivers.
0
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0 5 10 15 20 25
Highway Trips
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Highway Trips
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Arterial Trips
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Arterial Trips
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400050006000700080009000
0 5 10 15 20
Arterial Trips
CO
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0 5 10 15 20
Arterial Trips
Fu
el (
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01020304050
0 5 10 15 20 25
Highway Trips
Tra
vel T
ime
(m
in)
020406080100
Sp
ee
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kph
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TT (min)Ave sp(kph)
01020304050
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vel T
ime
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in)
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TT (min)Ave sp(kph)
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VT-Micro(ORNL)
CMEM11
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Mobile6
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VT-Micro(ORNL)
CMEM11CMEM24
Mobile6
VT-Micro (ORNL) CMEM24
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Time (s)
Spe
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(kph
) HighwayArterial
020406080
100
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(m
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HighwayArterial
02000400060008000
0 500 1000 1500 2000
Time (s)
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HighwayArterial
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Time (s)
NO
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Arterial
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CO
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) HighwayArterial
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Spe
ed
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) HighwayArterial
020406080
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Time (s)
HC
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HighwayArterial
02000400060008000
0 500 1000 1500 2000
Time (s)
CO
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g)
HighwayArterial
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Time (s)
NO
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Arterial
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CO
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) HighwayArterial
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HighwayArterial