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Heterogeneous traffic flow system carbon-dioxide emission control

机译:异构交通流系统二氧化碳排放控制

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Traffic jam has caused serious environmental pollution problem to our daily life nowadays. To make clear the effects of different traffic flow drivers' type influence on traffic carbon-dioxide(i.e. CO2) emission, we first modified the traditional coupled-mapping traffic flow car following model, that the driver's sensitivity factor obeys mathematic statistical probability distribution, and deduced the model's stability condition. In our traffic flow theoretical model, two following vehicle's acceleration running equation incorporated the full velocity difference between the successive running vehicles. Secondly, based on modern system control theory, a system controller with delay-feedback part was designed to suppress traffic congestion and traffic emission. To support our theoretical supposition and model, we made many numerical simulations with computer software. The simulation conclusions showed that our heterogeneous traffic flow system is much easy to produce CO2 emission than homogeneous one. While a proper traffic signal controller can produce good effect on suppressing traffic jam and traffic CO2 emission.
机译:如今,交通拥堵已经给我们的日常生活造成了严重的环境污染问题。为了弄清不同交通驾驶员类型对交通二氧化碳(即一氧化碳)的影响 2 )排放,我们首先修改了传统的耦合映射交通流跟随模型,使驾驶员的敏感性因子服从数学统计概率分布,并推导了模型的稳定性条件。在我们的交通流理论模型中,以下两个车辆的加速行驶方程式包含了连续行驶的车辆之间的全速差。其次,基于现代系统控制理论,设计了具有延迟反馈部分的系统控制器,以抑制交通拥堵和交通排放。为了支持我们的理论假设和模型,我们使用计算机软件进行了许多数值模拟。仿真结论表明,我们的异构交通流系统很容易产生CO 2 发射比均质之一。适当的交通信号控制器可以有效地抑制交通拥堵和二氧化碳排放 2 排放。

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