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表征珠海的驾驶模式以进行交通排放估算。

Characterizing driving patterns for Zhuhai for traffic emissions estimation.

作者信息

Hung Wing-tat, Tam Ka-man, Lee Chi-pang, Chan Lo-yin, Cheung Chun-shun

机构信息

Department of Civil and Structural Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, People's Republic of China.

出版信息

J Air Waste Manag Assoc. 2006 Oct;56(10):1420-30. doi: 10.1080/10473289.2006.10464550.

DOI:10.1080/10473289.2006.10464550
PMID:17063864
Abstract

Zhuhai, a relatively less developed city on the western coast of the Pearl River Delta (PRD) of China, is planning to undergo major development in coming years. A Hong Kong-Zhuhai-Macao Bridge project has been approved by the Central Government of China. The project will have great impact on the driving pattern and vehicular emissions to the city. This baseline study collected speed-time data of two instrumented private cars in morning and evening periods, as well as a daytime nonpeak period of >10 consecutive days in the spring and winter of 2003. The authors used the microwave speed sensor and global positioning system installed in the instrumented cars and used car-chasing technique to perform the data collection. They used the statistical package SPSS to assess the consistency, as well as to evaluate the variability of the data. Nine parameters, namely, average speed, average running speed, average acceleration rate, average deceleration rate, mean length of a driving period, time proportions of driving modes, average number of acceleration-deceleration changes, root mean square acceleration, and positive acceleration kinetic energy are calculated to represent the driving characteristics. A driving cycle for private cars was developed. If emission tests were conducted using the Zhuhai driving cycle, the level of vehicle emissions measured is likely to be in between that of the Federal Test Procedure (FTP) cycle and the Melbourne Peak cycle.

摘要

珠海是中国珠江三角洲西岸一个相对欠发达的城市,正计划在未来几年进行大规模开发。一项港珠澳大桥项目已获中国中央政府批准。该项目将对该市的驾驶模式和车辆排放产生重大影响。这项基线研究收集了两辆配备仪器的私家车在2003年春季和冬季早晚时段以及连续10天以上的白天非高峰时段的速度-时间数据。作者使用安装在配备仪器车辆上的微波速度传感器和全球定位系统,并采用跟车技术进行数据收集。他们使用统计软件包SPSS来评估数据的一致性,并评估数据的变异性。计算了九个参数,即平均速度、平均行驶速度、平均加速度、平均减速度、行驶时段平均长度、驾驶模式时间比例、加减速变化平均次数、均方根加速度和正加速度动能,以代表驾驶特征。制定了私家车的驾驶循环。如果使用珠海驾驶循环进行排放测试,测得的车辆排放水平可能介于联邦测试程序(FTP)循环和墨尔本高峰循环之间。

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