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Heterogeneous Task Allocation Model and Algorithm for intelligent connected vehicles

CMC-COMPUTERS MATERIALS & CONTINUA 2024年第3期80卷 4281-4302页

作者： Wan, Neng Zeng, Guangping Zhou, Xianwei Univ Sci & Technol Beijing Sch Comp & Commun Engn Beijing 100083 Peoples R China Southwest Forestry Univ Sch Mech & Transportat Kunming 650224 Peoples R China

With the development of vehicles towards intelligence and connectivity, vehicular data is diversifying and growing dramatically. A task allocation model and algorithm for heterogeneous intelligent connected Vehicle (ICV) applications are proposed for the dispersed computing network composed of heterogeneous task vehicles and Network Computing Points (NCPs). Considering the amount of task data and the idle resources of NCPs, a computing resource scheduling model for NCPs is established. Taking the heterogeneous task execution delay threshold as a constraint, the optimization problem is described as the problem of maximizing the utilization of computing resources by NCPs. The proposed problem is proven to be NP-hard by using the method of reduction to a 0-1 knapsack problem. A many-to-many matching algorithm based on resource preferences is proposed. The algorithm first establishes the mutual preference lists based on the adaptability of the task requirements and the resources provided by NCPs. This enables the filtering out of un-schedulable NCPs in the initial stage of matching, reducing the solution space dimension. To solve the matching problem between ICVs and NCPs, a new many-to-many matching algorithm is proposed to obtain a unique and stable optimal matching result. The simulation results demonstrate that the proposed scheme can improve the resource utilization of NCPs by an average of 9.6% compared to the reference scheme, and the total performance can be improved by up to 15.9%.

关键词： Task allocation intelligent connected vehicles dispersed computing matching algorithm RESOURCE-ALLOCATION PARADIGM

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Active lane management for intelligent connected vehicles in weaving areas of urban expressway

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Journal of intelligent and connected vehicles 2021年第2期4卷 52-67页

作者： Haijian Li Junjie Zhang Zihan Zhang Zhufei Huang Beijing University of Technology BeijingChina China Academy of Urban Planning and Design BeijingChina

Purpose–This paper aims to use activeﬁne lane management methods to solve the problem of congestion in a weaving area and provide theoretical and technical support for trafﬁc control under the environment of intelligent connected vehicles(ICVs)in the ***/methodology/approach–By analyzing the trafﬁc capacities and trafﬁc behaviors of domestic and foreign weaving areas and combining them withﬁeld investigation,the paper proposes the active andﬁne lane management methods for ICVs to optimal driving behavior in a weaving *** VISSIM simulation of trafﬁcﬂow vehicle driving behavior in weaving areas of urban expressways was performed using research *** inﬂuence of lane-changing in advance on the weaving area was evaluated and a conﬂict avoidance area was established in the weaving *** activeﬁne lane management methods applied to a weaving area were veriﬁed for different ***–The results of the study indicate that ICVs complete their lane changes before they reach a weaving area,their time in the weaving area does not exceed the speciﬁed time and the delay of vehicles that pass through the weaving area ***/value–Based on the vehicle group behavior,this paper conducts a simulation study on the active trafﬁc management control-oriented to *** research results can optimize the management of lanes,improve the trafﬁc capacity of a weaving area and mitigate trafﬁc congestion on expressways.

关键词： Active-lane management intelligent connected vehicles Lane-changing behavior Urban expressway Weaving area

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