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A distributed dynamic route guidance approach based on short-term forecasts in cooperative infrastructure-vehicle systems

机译:协同基础设施-车辆系统中基于短期预测的分布式动态路径引导方法

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摘要

This paper proposes and implements a simulation-based Distributed Dynamic Route Guidance System (DDRGS) by using the latest data collection and communication techniques in Cooperative Vehicle-Infrastructure Systems (CVIS). The framework and data processing procedure of DDRGS are designed by considering practical characteristics together with users' demands. Then, we formulate an integrated guidance model, which is based on Kalman filter short-term predicting information. A time-dimension factor is particularly introduced into the considered network with an innovative hierarchical scheme. Correspondingly, an improved Dijkstra algorithm for the guidance model is developed to find the optimal route. Further, we elaborately coordinate the DDRGS with the online map and other plug-in tools. The developed system shows that the approach proposed in this paper is available and effective for real-world applications.
机译:本文利用协作式车辆基础设施系统(CVIS)中的最新数据收集和通信技术,提出并实现了基于仿真的分布式动态路线引导系统(DDRGS)。 DDRGS的框架和数据处理程序是通过考虑实际特性以及用户需求而设计的。然后,基于卡尔曼滤波短期预测信息,建立了一个综合制导模型。通过创新的分层方案,将时维因子特别引入到考虑的网络中。相应地,为导引模型开发了一种改进的Dijkstra算法,以找到最佳路线。此外,我们精心设计了DDRGS与在线地图和其他插件工具的协调。所开发的系统表明,本文提出的方法对于实际应用是可用且有效的。

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