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Analysis of Vehicle Speed Limit and Air Pollution Load for Identifying Road Conditions in India: An Empirical Study for Smart City

机译:印度道路条件识别道路状况的车速极限和空气污染负荷分析:智能城市的实证研究

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The recent major studies reveal that the transportation system of any country must focus on the road conditions for effective traffic management. The several parameters can be considered to identify the road conditions such as types of vehicles, speed limit on different roads, traffic and transport rules etc. The paper discusses about the two major and important concerns on the Indian roads scenario i.e. vehicle speed and vehicle emitted pollutants. Since there are different types of vehicles running on the road and each vehicle has its own pollutants emission status, there is a necessity to perform analysis to define the road conditions in the major cities or states of India. To perform the analysis the work has divided into four folds: 1. Identify vehicle types and speed regulations. 2. Identify the details of different pollutants 3. Identify the relationship between the type of vehicles and speed limits and 4. Identify the relationship between air pollutants and intensity of pollutants in different states. The secondary dataset of Indian roads scenario has been used and Two-way Analysis of Variance (ANOVA) applied for the analysis of road conditions. The result shows that there is no significant relationship between type of vehicles and speed limits of different states and there is no significant relationship between the pollutants emitted and intensity of pollutants in different cities. The study is useful to suggest various techniques to improve the efficiency of transport system in India by implementing Intelligent Transportation System (ITS) which lead to address numerous challenges in the era of Smart Cities.
机译:近期主要的研究表明,任何一个国家的交通系统必须着眼于有效的交通管理的道路状况。这几个参数可以被认为是识别道路条件,如类型的车辆,车速限制在不同的道路,交通和运输规则等有关发射对印度的道路情况,即车辆速度和车辆两个主要和重要关切论述污染物。因为有不同类型的道路上行驶的车辆和每辆车都有自己的污染物排放状况,存在进行分析,在印度各大城市或国家来定义道路条件的必需品。为了执行分析工作分为四个折叠:1.确定车辆类型和速度的规定。 2.识别不同污染物的细节3.确定车辆和速度极限和4的类型之间的关系确定空气污染物和在不同状态下的污染物强度之间的关系。印度的道路情况下的二级数据集已使用和方差(ANOVA)的双向分析适用于路况分析。结果表明,有类型的车辆和不同的状态的速度限制之间没有显著关系,并且没有排放的污染物和在不同的城市污染物强度之间关系显著。这项研究是非常有用的建议各种技术通过实现智能交通系统,提高交通运输系统在印度的效率(ITS),这导致解决智能城市时代的诸多挑战。

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