摘要
驾驶员不同的驾驶行为会导致公交客车行驶油耗的较大差异,这种差异在弯道、上下坡、红绿灯、公交站等特殊路段更为突出。为了探讨降低公交客车弯道行驶油耗的方法,根据车辆远程数据采集系统所采集的天津市滨海公交503路上6位驾驶员10多万公里的行车数据,提取了该线路28个弯道数据,建立了弯道几何描述模型。研究了弯道几何特征和驾驶员驾驶行为对过弯油耗的影响,提出基于动态规划的车辆过弯油耗优化方法,并通过仿真验证了该优化方法的效果。结果表明,对于所选择的两个典型弯道,通过驾驶行为优化,油耗可分别降低7.96%和27.51%。
The driver behaviors lead to difibrent filel consumption and such diffrences are more prominent when driving through corners, going downhill, at traffic lights, bus stations and other special sections. This paper extracted the corner information from more than 10 million kilometers of traffic data on a Tianjin Binhai 503 bus fbr six drivers. Effects of curve shapes and driving behavior on tirol consumption were investigated, and a DP based optimization method was proposed. The optimizatkm results were verified on the GT-SUIT platfbrm. The results show that the optimization of driving behavior can reduce tirol consumption by, 7.96% and 27.51% respectively fbr two selected curves.
出处
《汽车工程学报》
2017年第2期139-145,共7页
Chinese Journal of Automotive Engineering
基金
基于车联网的道路车辆行驶节能技术(14ZCDGGX00794)(天津市级项目)
关键词
弯道行驶
节油
城市客车
驾驶行为
优化
driven in curves
fuel saving
city bus
driving behavior: optimization