非机动车道混合流通行能力计算及特性分析

针对非机动车交错行驶、蛇形运动特点,为更加合理计算非机动车道混合流通行能力,提出了一种基于时空消耗的非机动车道混合流通行能力计算方法。通过武汉市7条非机动车道的饱和时段交通流观测数据,采用本文方法计算了该7条非机动车道的混合流通行能力；利用数据拟合与方差分析得到了不同隔离方式及宽度下非机动车车速及电动自行车比例对单一非机动车平均时空消耗的影响,进而分析了非机动车道的混合流通行能力特性。实例研究结果表明：非机动车道混合流通行能力随非机动车速度的增加呈现先增加后减少的趋势；同一电动自行车比例下,不同隔离方式和非机动车道宽度对通行能力具有显著性差异；同一非机动车道宽度下,绿化带隔离会比隔离栏隔离具有更高的通行能力；同一隔离方式下,非机动车道的宽度越大,单位宽度的通行能力值越小。同一非机动车道路段,电动自行车比例越大,非机动车道的通行能力越大；纯电动自行车比纯人力自行车的单一非机动车平均时空消耗约降低了2.15m2^.s/辆,电动自行车的运行效率高于人力自行车,对通行能力具有提升作用。基于时空消耗的混合非机动车道通行能力计算分析,能克服忽略非机动车行驶特性及多因素简化对非机动车道混合流通行能力计算的弊端,计算原理清晰,便于路上试验开展。

Calculation and Characterization of Mixed Flow Capacity of Non-Motorized Lanes

In order to calculate the mixed flow capacity of non-motorized lanes more reasonably based on the characteristics of staggered driving and serpentine movement of non-motorized vehicles, a method of calculating the mixed flow capacity of non-motorized lanes based on time-space consumption is proposed. The mixed traffic capacity of seven non-motorized lanes in Wuhan is calculated by using the observed traffic flow data during the saturation hours of these seven non-motorized lanes; The effects of non-motorized vehicle speed and the proportion of e-bikes on the average time-space consumption of a single non-motorized vehicle under different isolation method and widths were obtained using data fitting and variance analysis, and then the mixed traffic capacity characteristics of non-motorized lanes are analyzed. The results of the case study show that: the mixed flow capacity of the non-motorized lane tends to increase and then decrease with the increase of the non-motorized vehicle speed; the different isolation methods and the width of the non-motorized lane have significant differences on the capacity under the same e-bike ratio; the green belt isolation will have higher capacity than the fence isolation under the same non-motorized lane width; the width of the non-motorized lane under the same isolation method The larger the width of non-motorized lane, the smaller the capacity value per unit width. The larger the proportion of e-bikes in the same non-motorized road section, the greater the capacity of the non-motorized lane; the average time-space consumption of pure e-bikes is about 2.15 m2^.s/veh lower than that of a single non-motorized vehicle with pure manual bikes, and the operating efficiency of e-bikes is higher than that of manual bikes, which has an enhancing effect on the capacity. The analysis of mixed non-motorized lane capacity calculation based on time-space consumption can overcome the drawbacks of ignoring the driving characteristics of non-motorized vehicles and multi-factor simplification on the calculation of mixed non-motorized lane capacity, and the calculation principle is clear and easy to carry out the test on the road.