E-VeT: Economic Reward/Penalty-Based System for Vehicular Traffic Management

Nilesh Padhariya, O. Wolfson, Anirban Mondal, Varun Gandhi, S. Madria
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引用次数: 5

Abstract

We propose the E-VeT system for efficient vehicular traffic management in road networks using economy-based reward/penalty schemes. In E-VeT, base stations collaboratively facilitate dynamic vehicular route assignments for reducing the traffic congestion, average time of arrival and fuel consumption. The main contributions of this work are two-fold. First, it proposes an R2A (Revenue-based Route Allocation) scheme, which rewards vehicles for following system-assigned longer-time paths, and charges a fee for following system-assigned shorter-time paths. Furthermore, it penalizes vehicles for any deviations from the system-assigned paths. Second, it discusses a route allocation algorithm, which gives lesser-time paths as a preference to vehicles that have earned higher revenue based on the R2A scheme. Preliminary performance study shows that E-VeT is indeed effective in managing vehicular traffic in road networks by reducing the average time of arrival and fuel consumption.
E-VeT:车辆交通管理经济奖罚制度
我们建议建立电子职业教育培训系统,以经济为本的奖惩机制,有效管理道路网络中的车辆交通。在E-VeT系统中,基站协作促进车辆动态路线分配,以减少交通拥堵、平均到达时间和燃料消耗。这项工作的主要贡献有两个方面。首先,它提出了一个R2A(基于收入的路线分配)方案,该方案奖励车辆遵循系统分配的较长时间路径,并对遵循系统分配的较短时间路径收取费用。此外,它会惩罚车辆偏离系统分配的路径。其次,讨论了一种路径分配算法,该算法根据R2A方案,优先考虑时间更短的路径,以获得更高收益的车辆。初步的性能研究显示,电子职业培训确实能有效地管理道路网络中的车辆交通,缩短平均到达时间和耗油量。
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