考虑车辆排放的交叉口信号自动优化  

Intersection Signal Automation Optimization Considering Vehicle Emission

作　　者：曹倩霞[1] 杨威[1] 王正武[1] 

机构地区：[1]公路工程省部共建教育部重点实验室(长沙理工大学),湖南长沙410004

出　　处：《系统工程》2013年第9期68-72,共5页Systems Engineering

基　　金：国家自然科学基金资助项目(51278068);湖南省教育厅科学研究计划项目(10C0372);长沙理工大学公路工程省部共建教育部重点实验室开放基金资助项目(kfj100105)

摘　　要：构建综合考虑车辆排放和延误的交叉口信号自动优化平台。根据机动车行驶工况变化对排放的影响,建立车辆减速、怠速、加速、匀速4种状态下的机动车排放计算模型;以减少机动车尾气排放及交叉口延误为总目标,以信号周期时长和各相位绿信比为优化参数建立信号优化模型,选择遗传算法作为优化工具,实现信号自动优化;利用Visual Basic6.0实现整个优化平台,并结合实际案例,验证合理性和实用性。An platform for intersection signal automatic optimization is constructed by considering vehicle emission and delay. First ,according to the effect of running state on the emission ,some models are established to describe the emission respectively in deceleration, idle speed, acceleration and uniform speed states. Then, a signal optimization model is established using the Genetic Algorithm （GA） as the optimization tool to realize signal automatic optimization, in which the decrease of vehicle exhaust emission and delay at intersections is adopted as the overall objective, and the signal cycle time and phase green split as the optimized variables. Last, the whole optimization platform is successfully implemented by using Vi^n~l R^ie 6.0, ~ncl the feasibility and oracticalitv is examined bv a case study from the real road network.

关 键 词：信号优化 车辆排放 交叉口延误 遗传算法 平台实现 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]