|Table of Contents|

Eco-driving strategy for mixed platoons based on vehicle trajectory data(PDF)

长安大学学报（自然科学版）[ISSN:1006-6977/CN:61-1281/TN]

Issue:
2025年01期
Page:
138-152
Research Field:
交通工程
Publishing date:

Info

Title:
Eco-driving strategy for mixed platoons based on vehicle trajectory data
Author(s):
LI Yun1; 2;  ZHANG Sheng-rui1;  ZHOU Bei1;  PAN Ying-jiu3;  ZHOU Zheng1;  BAI Yun2
(1. School of Transportation Engineering, Chang'an University, Xi'an 710064, Shaanxi, China; 2. School of Aviation, Inner Mongolia University of Technology, Hohhot 010050, Inner Mongolia, China; 3. School of Automobile, Chang'an University, Xi'an 710064, Shaanxi, China)
Keywords:
traffic engineering;  eco-driving strategy;  LWR model;  trajectory optimization;  platoon-splitting;  mixed platoons
PACS:
U491
DOI:
10.19721/j.cnki.1671-8879.2025.01.012
Abstract:
To address the high energy consumption resulting from frequent stopping and starting at signalized intersections, and in light of the increasing prevalence of mixed traffic involving autonomous vehicles(AVs)and human-driven vehicles(HDVs), a strategy was developed to facilitate eco-driving at intersections. This strategy was employed to utilize AVs to lead HDVs, thus forming mixed platoons. In modeling mixed vehicle platoons, both the following behavior and energy consumption models were considered, complemented by theoretical analyses based on real vehicle trajectory data. The LWR model was employed to investigate the queue dissipation behaviors, laying the theoretical groundwork for the design of subsequent eco-driving strategies. The method for calculating target speeds across various queuing scenarios were examined, and a two-stage speed strategy was proposed. Furthermore, a platoon-splitting strategy was developed for instances where mixed platoons cannot clear the intersection within a single green light phase. The results show that in scenarios without queuing, the total energy consumption of the mixed vehicle platoon reduced by 33.96% compared to the free-driving model, yielding an additional 3.33% savings over the traditional eco-driving model. In cases involving dissipatable queuing, the total energy consumption of the mixed platoon, excluding the splitting strategy, decreases by 23.26% relative to the free-driving model. The application of the splitting strategy further enhances energy savings by an additional 4.41%. In scenarios featuring secondary queuing, the proposed model achieves a 14.55% reduction in total energy consumption compared to the free-driving model. These findings provide valuable insights for traffic managers to devise more precise and flexible dynamic strategies for mixed platoons under varying traffic conditions, thereby reducing the per-vehicle energy consumption and supporting dual carbon objective.8 tabs, 8 figs, 26 refs.

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Last Update: 2025-02-25