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Analysis of traffic flow with mixed manual and semi-automated vehicles

机译:混合动力手动和半自动车辆的交通流量分析

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The paper analyzes the effects on traffic flow characteristics and environment when semi-automated vehicles with automatic vehicle following capability (in the same lane) operate together with manually driven vehicles. We show that semi-automated vehicles do not contribute to the slinky effect phenomenon observed in today's highway traffic when the lead manual vehicle performs smooth acceleration manoeuvres. We demonstrate that semi-automated vehicles smooth traffic flow by filtering the response of rapidly accelerating lead vehicles. Using simulations we show that the fuel consumption and pollution levels present in manual traffic simulated using a car following model that models the slinky effect behavior observed in manual driving can be reduced during rapid acceleration transients by 7.3% and 3.8%-47.3% respectively, due to the presence of 10% semi-automated vehicles. The data obtained are qualitatively valid and demonstrate the beneficial effect of semi-automated vehicles in mixed traffic in improving air quality and fuel consumption.
机译:本文分析了具有自动跟踪能力的半自动车辆(在同一车道上)与手动驾驶车辆一起使用时,对交通流量特性和环境的影响。我们显示,当领先的手动车辆执行平稳的加速动作时,半自动车辆不会导致在当今的高速公路交通中观察到的link回效应现象。我们证明,半自动车辆通过过滤快速加速的领先车辆的响应来平滑交通流量。使用模拟结果表明,使用汽车跟随模型对手动驾驶中观察到的紧身效应行为进行建模的手动交通中出现的油耗和污染水平可以在快速加速瞬变期间分别降低7.3%和3.8%-47.3%,这是由于到10%的半自动车辆。获得的数据在质量上是有效的,并证明了半自动车辆在混合交通中对改善空气质量和燃料消耗的有益作用。

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