用三车道连续体模型探讨工作区对带隧道环形高速公路车流的影响

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The net-changing rate between adjacent lanes is described using a lane-changing time on the basis of an assumption: the time ratio to relaxation time equals infinity when the absolute value of traffic densities between the two adjacent lanes is less than 1 veh/km, implying that the net-changing rate is zero; otherwise, the time ratio is inversely proportional to the vehicular spatial headway, which is equal to unity for traffic flow at saturation state, but infinity when the traffic flow is completely jammed. It is assumed that the freeway is a three lane ring with a total length of 100 km, and has a tunnel with a speed limit of 60 km/h and a length of 1.6 km located downstream the work zone with a length of 0.16 km. The free flow speeds on lanes I, II, and III are 120 km/h, 100 km/h, and 85 km/h, respectively. 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引用次数: 0

摘要

高速公路施工区的形成是交通事故或道路修复的结果。为了确定第二车道完全堵塞的施工区对有隧道的环形高速公路车辆流量的影响,提出了一个三车道连续模型。工作区上游从车道 II 到车道 I 或 III 的强制性净变线率由随机数模型描述,随机数是根据黄金分割分析在中值附近的小范围内产生的。相邻车道之间的净变化率使用换道时间来描述,其假设条件是:当相邻两条车道之间交通密度的绝对值小于 1 车辆/公里时,时间与松弛时间的比值等于无穷大,这意味着净变化率为零;否则,时间比值与车辆空间车头间距成反比,当交通流处于饱和状态时,时间比值等于一,但当交通流完全堵塞时,时间比值等于无穷大。假设高速公路为三车道环形,总长 100 公里,在工作区下游有一条限速 60 公里/小时、长 1.6 公里、长 0.16 公里的隧道。车道 I、II 和 III 的自由流速度分别为 120 公里/小时、100 公里/小时和 85 公里/小时。对于带隧道的环形高速公路上的车流,采用可靠的高精度数值方法,基于三车道连续模型进行了数值模拟。结果发现,车辆流有两个交通堵塞形成的临界点,一个取决于隧道,另一个取决于工作区。当按拥堵密度归一化的初始密度等于第一个阈值 0.15 时,隧道会引发交通拥堵;当归一化初始密度等于第二个阈值 0.19 时,工作区会引发另一次交通拥堵。一旦隧道入口处出现交通拥堵,高速公路隧道就会在平均旅行时间预测中发挥主导作用。对于非饱和状态下的车流,通过隧道的平均速度约为 26.67 公里/小时。当归一化初始密度超过第二个临界值 0.19 时,通过每条车道的平均行车时间与初始密度呈线性增长。车辆油耗可通过时间平均网格交通速度和假定的车辆性能曲线进行内插法估算。结果发现,车辆燃料消耗量与车道数有关,并随初始密度呈凹形分布,其值在 6.5 至 8.3 升之间。
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Exploring the effects of work zone on vehicular flow on ring freeways with a tunnel using a three-lane continuum model

Freeway work zone forms as a result of traffic crash or road rehabilitation. To ascertain the effects of work zone with lane II completely blocked on vehicular flow on ring freeways with a tunnel, a three-lane continuum model is put forward. The mandatory net lane-changing rate from lane II to lane I or III just upstream of the work zone is described by a random number model, with the random number being produced within a small range around a median based on a golden section analysis. The net-changing rate between adjacent lanes is described using a lane-changing time on the basis of an assumption: the time ratio to relaxation time equals infinity when the absolute value of traffic densities between the two adjacent lanes is less than 1 veh/km, implying that the net-changing rate is zero; otherwise, the time ratio is inversely proportional to the vehicular spatial headway, which is equal to unity for traffic flow at saturation state, but infinity when the traffic flow is completely jammed. It is assumed that the freeway is a three lane ring with a total length of 100 km, and has a tunnel with a speed limit of 60 km/h and a length of 1.6 km located downstream the work zone with a length of 0.16 km. The free flow speeds on lanes I, II, and III are 120 km/h, 100 km/h, and 85 km/h, respectively. For the vehicular flow on the ring freeway with a tunnel, numerical simulations based on the three-lane continuum model are carried out with a reliable numerical method of high accuracy. It is found that the vehicular flow has two thresholds of traffic jam formation, one depending upon the tunnel and the other upon the work zone. The tunnel triggers a traffic jam when the initial density normalized by jam density is equal to the first threshold 0.15, and the work zone originates another traffic jam when the normalized initial density equals the second threshold 0.19. The freeway tunnel plays a dominant role in the prediction of mean travel time as soon as the tunnel has generated a traffic jam at the tunnel entrance. For the vehicular flow at unsaturated state, the average speed through the tunnel is about 26.67 km/h. When the normalized initial density exceeds the second threshold 0.19, the mean travel time through every lane increases with the initial density linearly. Vehicle fuel consumption can be estimated by interpolation with the time averaged grid traffic speed and an assumed vehicle performance curve. It is found that the vehicle fuel consumption is lane number dependent, and distributes with the initial density concavely, as well as has a value in the range of 6.5 to 8.3 l.

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来源期刊
International Journal of Transportation Science and Technology
International Journal of Transportation Science and Technology Engineering-Civil and Structural Engineering
CiteScore
7.20
自引率
0.00%
发文量
105
审稿时长
88 days
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