kth.sePublications KTH
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Eco-driving Incentive Mechanisms for Mitigating Emissions in Urban Transportation
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Decision and Control Systems (Automatic Control). KTH, School of Electrical Engineering and Computer Science (EECS), Centres, Digital futures. Massachusetts Institute of Technology, Laboratory for Information and Decision Systems, Department of Electrical Engineering and Computer Science, Cambridge, MA, USA.ORCID iD: 0000-0001-7932-3109
Massachusetts Institute of Technology, Laboratory for Information and Decision Systems, Department of Civil and Environmental Engineering, Cambridge, MA, USA.
Massachusetts Institute of Technology, Laboratory for Information and Decision Systems, Department of Electrical Engineering and Computer Science, Cambridge, MA, USA.
University of Illinois, Urbana-Champaign, Department of Industrial and Enterprise Systems Engineering, Urbana, USA.
Show others and affiliations
2025 (English)In: IEEE Transactions on Control of Network Systems, E-ISSN 2325-5870Article in journal (Refereed) Epub ahead of print
Abstract [en]

This paper develops incentive mechanisms for promoting eco-driving with the overarching goal of minimizing emissions in transportation networks. The system operator provides drivers with energy-efficient driving guidance throughout their trips and measures compliance through vehicle telematics that capture how closely drivers follow this guidance. Drivers optimize their behaviors based on personal trade-offs between travel times and emissions. To design effective incentives, the operator elicits driver preferences regarding trip urgency and willingness to eco-drive, while determining optimal budget allocations and eco-driving recommendations. Two distinct settings based on driver behavior are analyzed. When drivers report their preferences truthfully, an incentive mechanism ensuring obedience (drivers find it optimal to follow recommendations) is designed by implementing eco-driving recommendations as a Nash equilibrium. When drivers may report strategically, the mechanism is extended to be both obedient and truthful (drivers find it optimal to report truthfully). Unlike existing works that focus on congestion or routing decisions in transportation networks, our framework explicitly targets emissions reduction by incentivizing drivers. The proposed mechanism addresses both strategic behavior and network effects arising from driver interactions, without requiring the operator to reveal system parameters to the drivers. Numerical simulations demonstrate the effects of budget constraints, driver types, and strategic misreporting on equilibrium outcomes and emissions reduction.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2025.
Keywords [en]
eco-driving, Incentive design, Nash equilibrium, obedience, truthfulness, urban transportation
National Category
Transport Systems and Logistics Control Engineering
Identifiers
URN: urn:nbn:se:kth:diva-372620DOI: 10.1109/TCNS.2025.3623943Scopus ID: 2-s2.0-105019927744OAI: oai:DiVA.org:kth-372620DiVA, id: diva2:2013041
Note

QC 20251111

Available from: 2025-11-11 Created: 2025-11-11 Last updated: 2025-11-11Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Niazi, Muhammad Umar B.

Search in DiVA

By author/editor
Niazi, Muhammad Umar B.
By organisation
Decision and Control Systems (Automatic Control)Digital futures
In the same journal
IEEE Transactions on Control of Network Systems
Transport Systems and LogisticsControl Engineering

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 10 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf