Intelligent Offloading Strategies For High Throughput Traffic Intersection Coordination

Yangan Mo, Mengqi Wang, Tingting Zhang, Qinyu Zhang
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引用次数: 4

Abstract

Appropriate traffic coordination at road intersections plays a crucial part in modern intelligent transportation systems (ITS). However, in some existing coordination algorithms, the complexity is too high to achieve real time solutions, that restricts their applications. Therefore, we try to propose an efficient computation offloading method based on an optimal coordination framework, by which the traffic throughput can be maximized [1]. Two different objective functions are adopted to make the computation simultaneously, under the constraints of the traffic statistics and communications capabilities. Numerical results show that both strategies can reduce the computation time of the system by approximate 20%. Additionally, as the computation capability of vehicles increases, the optimal offloading schemes achieved by the two proposed strategies may vary accordingly.
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高吞吐量交通交叉口协调的智能卸载策略
交叉口交通协调是现代智能交通系统的重要组成部分。然而,在现有的一些协调算法中,由于复杂度太高而无法实现实时解,限制了它们的应用。因此,我们尝试提出一种基于最优协调框架的高效计算卸载方法,使交通吞吐量最大化[1]。在交通统计和通信能力的约束下,采用两种不同的目标函数同时进行计算。数值结果表明,这两种策略都能使系统的计算时间减少约20%。此外,随着车辆计算能力的增加,两种策略的最优卸载方案可能会有所不同。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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