Economic incentives to achieve convergence of user and system optima

Kangkang Cheng, Xiong Jiang
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Abstract

Distinction between user optimum and system optimum is a well-known phenomenon in traffic modeling. Although the difference between the two optima in real situations is usually not very large, the achievement of system optimum has been a problem to traffic authorities who do not have absolute control of traffic. With the advent of intelligent vehicle-highway systems (IVHS) technologies, economic incentives (and disincentives) can be used to achieve the convergence of user and system optima without coercion. This possible application of IVHS technologies are illustrated through two numerical examples. The general case of the simpler example is examined to provide an insight to some surprising results, including the constant difference of total travel times between user and system optima as traffic volume increases. The examples also serve to indicate technical, informational, and economic requirements for practical implementation. Broader implications in terms of acceptability and system architecture are also discussed.<>
实现用户和系统最优收敛的经济激励
用户最优和系统最优的区别是流量建模中一个众所周知的现象。虽然在实际情况下两种最优值的差异通常不是很大,但对于没有绝对交通控制权的交通管理部门来说,如何实现系统最优一直是一个难题。随着智能车辆-公路系统(IVHS)技术的出现,可以使用经济激励(和抑制)来实现用户和系统最优的融合,而无需强制。通过两个数值例子说明了IVHS技术的这种可能应用。本文研究了简单示例的一般情况,以了解一些令人惊讶的结果,包括随着交通量的增加,用户和系统最优之间的总旅行时间的恒定差异。这些例子还表明了实际实施的技术、信息和经济需求。在可接受性和系统架构方面也讨论了更广泛的含义
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