高速公路爬坡车道设置的有效性

发布时间：2018-08-28 10:54

【摘要】：为了科学地分析高速公路爬坡车道设置有效性,为管理者提供建设的决策依据,在传统元胞自动机模型的基础上,通过引入纵坡坡度、车辆运行速度改进了NS跟车规则中的车辆加速与慢化概率规则,在换车道规则中,对相邻车道上后方紧邻车辆的速度采取车辆运行速度与安全换道间距的最小值,构建适用于爬坡路段的交通流元胞自动机模型;分析车道数、坡度、坡长、车速、大车混入率等因素对爬坡路段通行能力的影响,据此仿真了240种方案。研究结果表明:单向双车道增设一条爬坡车道后,其通行能力提高百分比区间为8%~16%,其中在大车混入率为30%时达到最大值;单向三车道增设一条爬坡车道后,其通行能力提高百分比区间为6%~15%,其中在大车混入率为20%时达到最大值。
[Abstract]:In order to scientifically analyze the effectiveness of freeway climbing lane setting and provide the decision basis for the construction of the manager, based on the traditional cellular automata model, the longitudinal slope degree is introduced. The speed of vehicle improves the probability of vehicle acceleration and deceleration in NS rules. In the rules of changing lanes, the speed of vehicles in the upper and rear of adjacent lanes is the minimum value of the speed of the vehicle and the distance between the safe change of track and the speed of the vehicle. The cellular automata model of traffic flow is constructed for slope climbing sections, and the effects of the number of lanes, slope degree, slope length, vehicle speed and vehicle mixed rate on the capacity of uphill sections are analyzed, and 240 schemes are simulated. The results show that the increase of traffic capacity is 8% and 16% after the addition of one climbing lane in one way dual lane, and the maximum value is reached when the vehicle mixing rate is 30, and one climbing lane is added in one direction three lane. The percentage range of capacity improvement is 6 / 15, and the maximum value is reached when the rate of vehicle mixing is 20.
【作者单位】：长安大学公路学院;路易斯安那大学拉法叶分校工程学院;
【基金】：国家自然科学基金项目(51208053)
【分类号】：U491.22

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