Abstract

In recent years, large-scale testing has begun for connected and autonomous driving, making it possible to implement the concept of Dynamic Lane Reversal (DLR), which can quickly shift lane directions to reflect instantaneous flow dynamics. DLR is to make full use of road space and avoid waste of road capacity, and potentially alleviate congestion. However, the impact and feasibility of DLR remain unclear. In order to investigate the effectiveness, the feasibility, and the applicability of DLR, we utilize a direction-changeable, lane-based cell transmission model to find an optimal DLR scheme for a roadway segment with stochastic traffic flow in both directions. A proxy model is also designed to realize DLR in VISSIM. A regression analysis was carried out to find the impacts of directional flow rate and the number of lanes on delay reductions due to DLR. Results indicate that implementing DLR can reduce the total queuing delay considerably compared to traditional reversible lane strategies. We found that DLR achieved superior performance on segments with more lanes and when the flows from each direction were close to one another. A zigzag frontier of the delay reduction was discovered. Findings from this research shed light on the feasibility and effectiveness of DLR on various types of road segments.

摘要

近年来，联网和自动驾驶的大规模测试已经开始，这使得动态车道倒车（DLR）的概念成为可能，它可以快速改变车道方向以反映瞬时流动动态。DLR 是为了充分利用道路空间，避免道路容量的浪费，并潜在地缓解拥堵。然而，DLR 的影响和可行性仍不清楚。为了研究 DLR 的有效性、可行性和适用性，我们利用可改变方向、基于车道的小区传输模型来为双向随机交通流的路段寻找最佳 DLR 方案。还设计了一个代理模型来实现 VISSIM 中的 DLR。进行回归分析以发现定向流速和车道数量对 DLR 延迟减少的影响。结果表明，与传统的可逆车道策略相比，实施 DLR 可以显着减少总排队延迟。我们发现 DLR 在具有更多车道以及来自每个方向的流量彼此靠近时取得了卓越的性能。发现了延迟减少的曲折边界。这项研究的结果揭示了 DLR 在各种类型的路段上的可行性和有效性。我们发现 DLR 在具有更多车道以及来自每个方向的流量彼此靠近时取得了卓越的性能。发现了延迟减少的曲折边界。这项研究的结果揭示了 DLR 在各种类型的路段上的可行性和有效性。我们发现 DLR 在具有更多车道以及来自每个方向的流量彼此靠近时取得了卓越的性能。发现了延迟减少的曲折边界。这项研究的结果揭示了 DLR 在各种类型的路段上的可行性和有效性。