Improved concepts and methods for accurate estimation of traffic volume, vehicle composition, traffic flow characteristics, and accident rates for canadian highways

改进的概念和方法，用于准确估计加拿大高速公路的交通量、车辆构成、交通流特征和事故率

• 批准号: 4658-2011
• 负责人: Sharma, Satish
• 金额: $ 1.53万
• 依托单位: University of Regina
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2012
• 资助国家: 加拿大
• 起止时间: 2012-01-01 至 2013-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=509002
• 关键词: Improved; concepts; methods; accurate; estimation

Highway agencies commit a significant portion of their financial and personnel resources to undertaking various types of data collection programs. They use permanent traffic counters (PTC), automatic vehicle classifiers, and sample counts to collect traffic volume and classification data, which play a very important role in the determination of essential highway planning and design parameters. Highway agencies also gather and investigate accident data to provide a high level of safety to road users.

公路机构承诺将其财政和人力资源的很大一部分用于开展各种类型的数据收集计划。他们使用永久性交通计数器(PTC)、自动车辆分类器和样本计数来收集交通量和分类数据，这些数据在确定必要的公路规划和设计参数方面发挥着非常重要的作用。高速公路机构还收集和调查事故数据，为道路使用者提供高水平的安全。