Dynamic Programing-based Green Speed Advisory System Design for Mixed Platooning Connected Vehicles

Abdulehad Özdemir; Ilker Murat Koç

doi:10.1109/ICAISC56366.2023.10085392

Dynamic Programing-based Green Speed Advisory System Design for Mixed Platooning Connected Vehicles

Abdulehad Özdemir^*
, Ilker Murat Koç

^*Corresponding author for this work

Department of Mechanical Engineering

Scientific and Technological Research Council of Turkey

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

Environmental concerns and related strategies, push hybrid and electric vehicles to have more market share due to their emission advantage which depends on electric carbon intensity. The traffic is getting mixed according to energy sources by increasing number of electric vehicles in use. On the other hand, smart city applications by the effective use of communication systems enable the development of green energy management systems. In this paper, a dynamic programing-based optimization system is developed to decrease Well-to-Wheels emissions of a platoon which consists of conventional and electric vehicles. The design variable of the optimizer is the speed profile and the objective function is the total emission. Both for conventional and electric vehicles, emission maps are developed for model-based optimization. For the defined use case validated results which were acquired by testing the vehicles, show that the optimizer can decrease the total emissions of the vehicles by 19.8%.

Original language	English
Title of host publication	1st International Conference in Advanced Innovation on Smart City, ICAISC 2023 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665472753
DOIs	https://doi.org/10.1109/ICAISC56366.2023.10085392
Publication status	Published - 2023
Event	1st International Conference in Advanced Innovation on Smart City, ICAISC 2023 - Jeddah, Saudi Arabia Duration: 23 Jan 2023 → 25 Jan 2023

Publication series

Name	1st International Conference in Advanced Innovation on Smart City, ICAISC 2023 - Proceedings

Conference

Conference	1st International Conference in Advanced Innovation on Smart City, ICAISC 2023
Country/Territory	Saudi Arabia
City	Jeddah
Period	23/01/23 → 25/01/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy
SDG 11 Sustainable Cities and Communities

Keywords

Connected Vehicles
Dynamic Programing
Electric Vehicles
Energy Management System
Platooning Vehicles
Well-to-Wheels Emissions

Access to Document

10.1109/ICAISC56366.2023.10085392

Cite this

Özdemir, A., & Koç, I. M. (2023). Dynamic Programing-based Green Speed Advisory System Design for Mixed Platooning Connected Vehicles. In 1st International Conference in Advanced Innovation on Smart City, ICAISC 2023 - Proceedings (1st International Conference in Advanced Innovation on Smart City, ICAISC 2023 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICAISC56366.2023.10085392

Özdemir, Abdulehad ; Koç, Ilker Murat. / Dynamic Programing-based Green Speed Advisory System Design for Mixed Platooning Connected Vehicles. 1st International Conference in Advanced Innovation on Smart City, ICAISC 2023 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2023. (1st International Conference in Advanced Innovation on Smart City, ICAISC 2023 - Proceedings).

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title = "Dynamic Programing-based Green Speed Advisory System Design for Mixed Platooning Connected Vehicles",

abstract = "Environmental concerns and related strategies, push hybrid and electric vehicles to have more market share due to their emission advantage which depends on electric carbon intensity. The traffic is getting mixed according to energy sources by increasing number of electric vehicles in use. On the other hand, smart city applications by the effective use of communication systems enable the development of green energy management systems. In this paper, a dynamic programing-based optimization system is developed to decrease Well-to-Wheels emissions of a platoon which consists of conventional and electric vehicles. The design variable of the optimizer is the speed profile and the objective function is the total emission. Both for conventional and electric vehicles, emission maps are developed for model-based optimization. For the defined use case validated results which were acquired by testing the vehicles, show that the optimizer can decrease the total emissions of the vehicles by 19.8\%.",

keywords = "Connected Vehicles, Dynamic Programing, Electric Vehicles, Energy Management System, Platooning Vehicles, Well-to-Wheels Emissions",

author = "Abdulehad {\"O}zdemir and Ko{\c c}, \{Ilker Murat\}",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 1st International Conference in Advanced Innovation on Smart City, ICAISC 2023 ; Conference date: 23-01-2023 Through 25-01-2023",

year = "2023",

doi = "10.1109/ICAISC56366.2023.10085392",

language = "English",

series = "1st International Conference in Advanced Innovation on Smart City, ICAISC 2023 - Proceedings",

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Özdemir, A & Koç, IM 2023, Dynamic Programing-based Green Speed Advisory System Design for Mixed Platooning Connected Vehicles. in 1st International Conference in Advanced Innovation on Smart City, ICAISC 2023 - Proceedings. 1st International Conference in Advanced Innovation on Smart City, ICAISC 2023 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 1st International Conference in Advanced Innovation on Smart City, ICAISC 2023, Jeddah, Saudi Arabia, 23/01/23. https://doi.org/10.1109/ICAISC56366.2023.10085392

Dynamic Programing-based Green Speed Advisory System Design for Mixed Platooning Connected Vehicles. / Özdemir, Abdulehad; Koç, Ilker Murat.
1st International Conference in Advanced Innovation on Smart City, ICAISC 2023 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2023. (1st International Conference in Advanced Innovation on Smart City, ICAISC 2023 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Dynamic Programing-based Green Speed Advisory System Design for Mixed Platooning Connected Vehicles

AU - Özdemir, Abdulehad

AU - Koç, Ilker Murat

PY - 2023

Y1 - 2023

N2 - Environmental concerns and related strategies, push hybrid and electric vehicles to have more market share due to their emission advantage which depends on electric carbon intensity. The traffic is getting mixed according to energy sources by increasing number of electric vehicles in use. On the other hand, smart city applications by the effective use of communication systems enable the development of green energy management systems. In this paper, a dynamic programing-based optimization system is developed to decrease Well-to-Wheels emissions of a platoon which consists of conventional and electric vehicles. The design variable of the optimizer is the speed profile and the objective function is the total emission. Both for conventional and electric vehicles, emission maps are developed for model-based optimization. For the defined use case validated results which were acquired by testing the vehicles, show that the optimizer can decrease the total emissions of the vehicles by 19.8%.

AB - Environmental concerns and related strategies, push hybrid and electric vehicles to have more market share due to their emission advantage which depends on electric carbon intensity. The traffic is getting mixed according to energy sources by increasing number of electric vehicles in use. On the other hand, smart city applications by the effective use of communication systems enable the development of green energy management systems. In this paper, a dynamic programing-based optimization system is developed to decrease Well-to-Wheels emissions of a platoon which consists of conventional and electric vehicles. The design variable of the optimizer is the speed profile and the objective function is the total emission. Both for conventional and electric vehicles, emission maps are developed for model-based optimization. For the defined use case validated results which were acquired by testing the vehicles, show that the optimizer can decrease the total emissions of the vehicles by 19.8%.

KW - Connected Vehicles

KW - Dynamic Programing

KW - Electric Vehicles

KW - Energy Management System

KW - Platooning Vehicles

KW - Well-to-Wheels Emissions

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DO - 10.1109/ICAISC56366.2023.10085392

M3 - Conference contribution

AN - SCOPUS:85153033494

T3 - 1st International Conference in Advanced Innovation on Smart City, ICAISC 2023 - Proceedings

BT - 1st International Conference in Advanced Innovation on Smart City, ICAISC 2023 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

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Özdemir A, Koç IM. Dynamic Programing-based Green Speed Advisory System Design for Mixed Platooning Connected Vehicles. In 1st International Conference in Advanced Innovation on Smart City, ICAISC 2023 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2023. (1st International Conference in Advanced Innovation on Smart City, ICAISC 2023 - Proceedings). doi: 10.1109/ICAISC56366.2023.10085392

Dynamic Programing-based Green Speed Advisory System Design for Mixed Platooning Connected Vehicles

Abstract

Publication series

Conference

Bibliographical note

UN SDGs

Keywords

Access to Document

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