关键词: 智能交通, 尾气排放减少, 密度控制算法, 匝道信号控制, Paramics仿真

Abstract:

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.

Key words: intelligent transportation, emission reduction, density control algorithm, ramp signal control, Paramics simulation