Dong, Lu;
Chen, Xiangyu;
Li, Bingbing;
Chen, Xinyu;
Zhuang, Weichao;
Yin, Guodong;
Chen, Boli;
(2025)
MP-CSAS: A Privacy-Preserving Speed Advisory Framework for Mixed Traffic Environment Based on Consortium Blockchain.
IEEE Internet of Things Journal
10.1109/jiot.2025.3625732.
(In press).
Preview |
Text
MP-CSAS_A_Privacy-Preserving_Speed_Advisory_Framework_for_Mixed_Traffic_Environment_Based_on_Consortium_Blockchain.pdf - Accepted Version Download (1MB) | Preview |
Abstract
Global climate change has emerged as a pressing global challenge, underscoring the imperative for governments and urban traffic management authorities to prioritize carbon emission reduction in the transportation sector. In mixed traffic environments, where internal combustion engine vehicles and electric vehicles coexist, the disparity in carbon emissions between these vehicle types poses a significant challenge for the formulation of effective transportation coordination policies. Consensus-based speed advisory systems (CSAS) have been extensively employed to enhance fleet energy efficiency and mitigate emissions. This paper develops a novel vehicle speed advisory framework for mixed traffic environments, termed the MP-CSAS, where M stands for Mixed Traffic and P for Privacy-preserving, which leverages blockchain technology, privacy-preserving mechanisms, and secure car-following strategies. By incorporating a coordination factor, the framework enables policymakers to dynamically optimize carbon emission reduction strategies while safeguarding vehicle user data privacy and ensuring operational safety. Simulation results demonstrate that the MP-CSAS framework effectively minimizes fleet carbon emissions while preserving data confidentiality and ensuring system security. This study contributes a forward-looking decision-making paradigm for road infrastructure providers and policymakers, equipping them with scientifically grounded and adaptive strategies to achieve sustainable and safe transportation objectives.
| Type: | Article |
|---|---|
| Title: | MP-CSAS: A Privacy-Preserving Speed Advisory Framework for Mixed Traffic Environment Based on Consortium Blockchain |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/jiot.2025.3625732 |
| Publisher version: | https://doi.org/10.1109/jiot.2025.3625732 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Consensus-based Speed Advisory System (CSAS), Mixed Traffic, Consortium Blockchain, Privacy Protection, Emission Control |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10216878 |
Archive Staff Only
![]() |
View Item |

