Effects of traffic signal coordination on noise and air pollutant emissions
Effects of traffic signal coordination on noise and air pollutant emissions
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DOI：
10.1016/j.envsoft.2012.02.009
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发表时间：
2012-07
期刊：
影响因子：
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通讯作者：
B. D. Coensel;A. Can;B. Degraeuwe;I. D. Vlieger;D. Botteldooren
中科院分区：
文献类型：
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作者：
B. D. Coensel;A. Can;B. Degraeuwe;I. D. Vlieger;D. Botteldooren
交通管理解决方案越来越多地被要求解决运输和流动性问题。特别是，协调的交通信号灯在主要干道上产生绿色波浪，这是一种越来越多地使用的减少旅行时间的策略。虽然人们通常认为，改善交通流量将导致较低的车辆排放，很少有科学研究已经花在同步交通灯对排放的影响。此外，由于交通流量的变化不一定以同样的方式影响旅行时间、噪音和空气质量，因此显然需要采取综合办法。本文报道了一项计算研究，其中一个微观交通模拟模型（Parkway）与子模型相结合的噪音（想象）和空气污染物（VERSIT+）的排放。通过对一系列场景的模拟，研究了交通强度、信号协调方案和信号参数对沿着一系列交通信号灯的主干道噪声、二氧化碳、氮氧化物和颗粒物排放的影响。结果发现，在最有利的条件下，引入绿色波可以潜在地降低所考虑的空气污染物的排放量的10%-40%，这取决于交通流量和信号定时设置。发现声压级在交通信号附近降低了1 dB（A），但在交叉口之间增加了1.5 dB（A）。交通强度和绿色分割对排放的影响最大，而循环时间没有显着的影响。
Traffic management solutions are increasingly called for to address problems of transport and mobility. In particular, coordinated traffic lights that create green waves along major arterials are an increasingly used strategy to reduce travel times. Although it is usually assumed that an improved traffic flow will result in lower vehicle emissions, little scientific research has been spent on the effects of synchronized traffic lights on emissions. Moreover, because changes in traffic flow do not necessarily influence travel times, noise and air quality in the same way, there is a clear need for a combined approach. This paper reports on a computational study in which a microscopic traffic simulation model (Paramics) is combined with submodels for the emission of noise (Imagine) and air pollutants (VERSIT+). Through the simulation of a range of scenarios, the model is used to investigate the influence of traffic intensity, signal coordination schemes and signal parameters on the noise, carbon dioxide, nitrogen oxides and particulate matter emissions along an arterial road equiped with a series of traffic lights. It was found that the introduction of a green wave could potentially lower the emissions of the considered air pollutants by 10%–40% in the most favorable conditions, depending on traffic flow and signal timing settings. Sound pressure levels were found to decrease by up to 1 dB(A) near the traffic signals, but to increase by up to 1.5 dB(A) in between intersections. Traffic intensity and green split were found to have the largest influence on emissions, while the cycle time did not have a significant influence on emissions.