Benefit

In-vehicle driver speed advisory systems that use broadcast signal timing information can reduce fuel consumption and emissions by 12 and 14 percent, respectively.

Experience developing connected vehicle applications.


3-7 October 2009
Nationwide,United States


Summary Information

In this study researchers developed an algorithm that uses real-time traffic signal timing information to provide dynamic speed advice to drivers enabling them to adjust speeds as needed to maximize potential for passing through an intersection with green lights. A network of 10 signalized intersections was modeled using a stochastic simulation technique to generate sample velocity profiles needed to estimate vehicle performance with and without dynamic speed advice provided to drivers between intersections. Algorithms were designed to minimize acceleration/deceleration rates while ensuring that the vehicle did not exceed the posted speed limit. This approach enabled researchers to evaluate the feasibility of connected vehicle applications as an alternative to adaptive signal control.

The sample velocity profiles generated from the model were input into a comprehensive modal emissions model (CMEM) to estimate fuel consumption and emissions. The calculation was performed for the following two vehicle categories.
    1. LDV24, which is a Tier 1 light-duty vehicle (e.g. passenger cars) with more than 100,000 mile
    2. LDV17, which is a Tier 1 light-duty truck with a loaded weight of 3,751 to 5,750 lbs (e.g., pick-ups, SUVs).
FINDINGS

Based on the algorithms presented in this research, the fuel consumption and emissions savings for vehicles with velocity planning were estimated at 12 and 14 percent, respectively.

The table below excerpted from the source report details a comparison of estimates with and without the speed advisory system.

Type
DV24
Avg.
Without
(S.D.)
With
(Avg.)
S.D.
% Diff in Avg.
p-value of t-test
Fuel (g/mi)
118.3
13.2
103.8
9.3
-12.3
8.7E-06
CO2 (g/mi)
371.0
41.2
318.8
25.3
-14.1
3.2E-07
TT (sec)
456.7
60.7
451.9
56.9
-1.06
0.635

Type
LDV17
Avg.
Without
(S.D.)
With
(Avg.)
S.D.
% Diff in Avg.
p-value of t-test
Fuel (g/mi)
151.0
17.4
132.4
12.4
-12.3
1.6E-05
CO2 (g/mi)
476.8
55.0
411.7
35.4
-13.7
1.5E-06
TT (sec)
456.4
60.6
448.9
61.9
-1.06
0.635

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Source

Arterial Velocity Planning based on Traffic Signal Information under Light Traffic Conditions

Author: Mandava,S.; K. Boriboonsomsin; and M. Barth

Published By: Proceedings of the 12th International IEEE Conference on Intelligent Transportation Systems

Source Date: 3-7 October 2009

URL: http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=5309519&url=http%3A%2F%2Fieeexplore.ieee.org%2Fiel5%2F5305882%2F5309513%2F05309519.pdf%3Farnumber%3D5309519

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Typical Deployment Locations

Metropolitan Areas

Keywords

None defined

Benefit ID: 2015-01038