On the potential of traffic light information availability for reducing fuel consumption and NOx emissions of a diesel light duty vehicle

Carlos Guardiola, Benjamin Pla, Varun Pandey, Richard Burke

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Abstract

The paper addresses the impact of traffic light information availability in terms of fuel consumption and emissions by means of comparing 3 different scenarios that a driver of a diesel light duty vehicle may face when trying to cover a particular route of 1km with two traffic lights in between. The first scenario is that the driver does not know in advance the state of the traffic lights. The second scenario assumes that the driver knows the state of the traffic lights but has not modelling nor computation capabilities to solve the associated Optimal Control problem. In the third scenario, the driver knows in advance the state of the traffic lights and also is able to solve the corresponding Optimal Control problem that leads to fuel consumption or NOx emissions minimisation. In the present study the vehicle speed trajectories associated to the previously described 3 scenarios have been computed and then tested in a Euro 5 Diesel vehicle installed in a chassis dynamometer. The obtained results show that: Traffic light information is essential for fuel minimisation in urban conditions, promoting reductions of 7.5-12% and 13-32% for fuel consumption and NOx emissions in the studied case. Also, differences in the engine operating conditions for high efficiency and low NOx emissions may lead to extremely high fuel consumption when NOx minimisation is foreseen or viceversa.
Original languageEnglish
JournalProceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering
Early online date2 Aug 2019
DOIs
Publication statusE-pub ahead of print - 2 Aug 2019

Cite this

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title = "On the potential of traffic light information availability for reducing fuel consumption and NOx emissions of a diesel light duty vehicle",
abstract = "The paper addresses the impact of traffic light information availability in terms of fuel consumption and emissions by means of comparing 3 different scenarios that a driver of a diesel light duty vehicle may face when trying to cover a particular route of 1km with two traffic lights in between. The first scenario is that the driver does not know in advance the state of the traffic lights. The second scenario assumes that the driver knows the state of the traffic lights but has not modelling nor computation capabilities to solve the associated Optimal Control problem. In the third scenario, the driver knows in advance the state of the traffic lights and also is able to solve the corresponding Optimal Control problem that leads to fuel consumption or NOx emissions minimisation. In the present study the vehicle speed trajectories associated to the previously described 3 scenarios have been computed and then tested in a Euro 5 Diesel vehicle installed in a chassis dynamometer. The obtained results show that: Traffic light information is essential for fuel minimisation in urban conditions, promoting reductions of 7.5-12{\%} and 13-32{\%} for fuel consumption and NOx emissions in the studied case. Also, differences in the engine operating conditions for high efficiency and low NOx emissions may lead to extremely high fuel consumption when NOx minimisation is foreseen or viceversa.",
author = "Carlos Guardiola and Benjamin Pla and Varun Pandey and Richard Burke",
year = "2019",
month = "8",
day = "2",
doi = "10.1177/0954407019867167",
language = "English",
journal = "Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering",
issn = "0954-4070",
publisher = "Sage Publications",

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T1 - On the potential of traffic light information availability for reducing fuel consumption and NOx emissions of a diesel light duty vehicle

AU - Guardiola, Carlos

AU - Pla, Benjamin

AU - Pandey, Varun

AU - Burke, Richard

PY - 2019/8/2

Y1 - 2019/8/2

N2 - The paper addresses the impact of traffic light information availability in terms of fuel consumption and emissions by means of comparing 3 different scenarios that a driver of a diesel light duty vehicle may face when trying to cover a particular route of 1km with two traffic lights in between. The first scenario is that the driver does not know in advance the state of the traffic lights. The second scenario assumes that the driver knows the state of the traffic lights but has not modelling nor computation capabilities to solve the associated Optimal Control problem. In the third scenario, the driver knows in advance the state of the traffic lights and also is able to solve the corresponding Optimal Control problem that leads to fuel consumption or NOx emissions minimisation. In the present study the vehicle speed trajectories associated to the previously described 3 scenarios have been computed and then tested in a Euro 5 Diesel vehicle installed in a chassis dynamometer. The obtained results show that: Traffic light information is essential for fuel minimisation in urban conditions, promoting reductions of 7.5-12% and 13-32% for fuel consumption and NOx emissions in the studied case. Also, differences in the engine operating conditions for high efficiency and low NOx emissions may lead to extremely high fuel consumption when NOx minimisation is foreseen or viceversa.

AB - The paper addresses the impact of traffic light information availability in terms of fuel consumption and emissions by means of comparing 3 different scenarios that a driver of a diesel light duty vehicle may face when trying to cover a particular route of 1km with two traffic lights in between. The first scenario is that the driver does not know in advance the state of the traffic lights. The second scenario assumes that the driver knows the state of the traffic lights but has not modelling nor computation capabilities to solve the associated Optimal Control problem. In the third scenario, the driver knows in advance the state of the traffic lights and also is able to solve the corresponding Optimal Control problem that leads to fuel consumption or NOx emissions minimisation. In the present study the vehicle speed trajectories associated to the previously described 3 scenarios have been computed and then tested in a Euro 5 Diesel vehicle installed in a chassis dynamometer. The obtained results show that: Traffic light information is essential for fuel minimisation in urban conditions, promoting reductions of 7.5-12% and 13-32% for fuel consumption and NOx emissions in the studied case. Also, differences in the engine operating conditions for high efficiency and low NOx emissions may lead to extremely high fuel consumption when NOx minimisation is foreseen or viceversa.

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DO - 10.1177/0954407019867167

M3 - Article

JO - Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering

JF - Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering

SN - 0954-4070

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