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匝道控制是缓解快速路拥堵的有效措施，而且有增加通行流量、提高运行效率、减少交通事故的功能，随着国民经济的提高，社会公众对环境污染的关注越来越高，所以研究考虑尾气排放减少的匝道控制是立足民生的课题.本文算法考虑了尾气排放因素，同时兼顾两个目标，一是减少总车辆旅行时间，二是最大量地减少尾气排放.利用Paramics仿真软件对算法进行了模拟实验，并且运用CMEM交通排放模型进行了计算，分析结果显示新算法有效地降低了总车辆旅行时间，而且比ALINEA算法更能降低匝道路段的尾气排放量和排队数，特别是在上坡坡度较大的情况下，新算法可以更多的减少尾气排放总量.

Emission-Based Optimization Algorithm for Ramp Metering

Ramp metering is an effective way to alleviate freeway congestion. It also makes some contributions to increase traffic flow, improve operational efficiency, and reduce traffic accidents, etc. With the rapid growth of the national economy, the public concerns more on the increasing environmental pollution. The study on ramp control considering emissions reduction is an important issue related to people’s livelihood. The algorithm in the paper considers some emissions factor. It occupies two objectives, the primary is to minimize total vehicle travel time, and the other is to reduce ramp emission as much as possible. The PARAMICS simulation program is used to evaluate its performance comparing with the ALINEA and no metering condition, and the CMEM traffic emission model is used to calculate the result. Analysis shows that the new ramp metering algorithm is effective in reducing the total vehicle travel time, as well as significantly reducing on ramp emissions and queues than the ALINEA strategy. Especially, on the large uphill gradient condition, new algorithm could reduce much more total emission.