A Statistical Data Analysis of Road Traffic and Road Accident Analysis of pink City Jaipur

Digvijay Singh, Deepak Mathur
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Abstract

The roads of Jaipur city are tight and intruded by further activities. Bus amenities in precise have worsened, and their competence and service quality have deteriorated, prompting commuters to personalize mode and IPL. This not only restricts the traffic flow, but also endangers the lives of road users. The total number of fatal accidents as well as related accidents in the city has been increasing over the years. People killed per 100 accidents during the year 2018 are alarmingly high, as many as 28. Pedestrian deaths are also very high as a percentage of road accidents. During current years, they found more than 85% of all road deaths. BLOS is essentiallyanorderingproblematic and cluster analysis is considered the utmost appropriate technique to solve this classification problem. The ASW is calculated for each clustering technique to associate between clustering techniques and find the best clustering method. K-Mean cluster analysis is establish to be the utmost appropriate technique in significant BLOS limits for the level of service kinds of urban roads in the Indian context.
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粉红城市斋浦尔道路交通统计数据分析及道路事故分析
斋浦尔市的道路很紧,而且受到进一步活动的干扰。公共汽车的便利设施恶化,服务能力和服务质量下降,促使通勤者个性化模式和IPL。这不仅限制了交通流量,而且危及道路使用者的生命。近年来,该市的致命事故和相关事故总数一直在增加。2018年,每100起事故中死亡人数高得惊人,高达28人。行人死亡在道路交通事故中所占的比例也很高。近年来,他们发现了所有道路死亡人数的85%以上。BLOS本质上是一个排序问题,聚类分析被认为是解决这个分类问题的最合适的技术。对每种聚类技术计算ASW,以便在聚类技术之间进行关联,找到最佳聚类方法。k -均值聚类分析被确定为在印度背景下城市道路服务类型水平的显著BLOS限制中最合适的技术。
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