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How real-world driving cycle differs in heterogeneous traffic conditions: a case study in Delhi

机译:现实世界中的行车周期在不同的交通状况下有何不同:以德里为例

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Heterogeneous traffic in Delhi is complex to understand due its typical composition, speed acceleration, cruising, deceleration and idling activity in flow. To arrive at accurate emission factor estimates and implement proper traffic demand management there is need to understand microscopic vehicle operation activity. The vehicular operations are easily quantified by understanding driving cycle of the particular vehicle in real world driving conditions. The purpose of this paper is to present a study on the understanding of driving conditions in India that are heterogeneous in nature. Design/methodology/approach - To understand the heterogeneity, the driving cycle data were collected using GPS on different types of both motorised and non-motorized modes of transport, e.g. car, auto rickshaw, bus, motorcycle and cycle rickshaw and bicycle on different traffic corridors in Delhi. Findings - Research findings show that driving cycles differ for different types of vehicles. Therefore, each mode should be encouraged based on their average speed-time sequence in any traffic mix. The real-world driving cycle will be also useful for the understanding of fuel consumption and emissions in real-world scenarios, in order to control vehicle emissions properly, achieve fuel efficiency and to obtain a more sustainable transport system. Originality/value - This type of research has not been carried out previously in any Indian city.
机译:德里的异构交通很难理解,这是因为其典型的组成,速度加速,巡航,减速和空转活动。为了获得准确的排放因子估算并实施适当的交通需求管理,需要了解微观的车辆操作活动。通过了解特定车辆在现实驾驶条件下的驾驶周期,可以轻松地量化车辆的运行状况。本文的目的是提出一项研究,以了解印度本质上具有异质性的驾驶条件。设计/方法/方法-为了解异质性,使用GPS在不同类型的机动和非机动运输方式(例如,交通方式)下收集了行驶周期数据。德里的不同交通走廊上的汽车,人力车,公共汽车,摩托车和自行车人力车和自行车。发现-研究发现表明,不同类型车辆的驾驶周期有所不同。因此,应基于任何流量混合中的平均速度-时间顺序来鼓励每种模式。现实世界中的驾驶循环对于理解现实世界中的油耗和排放也很有用,以便适当地控制车辆排放,实现燃料效率并获得更可持续的交通运输系统。原创性/价值-以前在印度任何城市都没有进行过这类研究。

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