An agent-based, multichannel simulation of a downtown area reveals the impacts of both time-shifting traffic demand with congestion pricing, and supplying extra capacity by banning left turns. The downtown street network was idealized, and loosely resembles central Los Angeles. On the demand-side, prices were set based on time-of-day and distance traveled. On the supply side, left-turn maneuvers were prohibited at all intersections on the network.

Although both traffic management measures reduced travel costs when used alone, the left-turn ban was much less effective than pricing. When combined with pricing under congested conditions, however, the left-turn ban’s effectiveness increased considerably—it more than doubled in some cases. Furthermore, the two measures combined reduced travel costs in synergistic fashion. In some cases, this synergistic effect was responsible for 30% of the cost reduction. This strong synergy suggests that turning bans should be considered as an added option when contemplating congestion pricing.

市中心区域的基于代理的多渠道模拟揭示了时移交通需求与拥堵定价的影响，以及通过禁止左转来提供额外容量的影响。市中心的街道网络是理想化的，大致类似于洛杉矶市中心。在需求方面，价格是根据一天中的时间和行驶距离确定的。在供应方面，网络上的所有交叉路口都禁止左转机动。

尽管单独使用这两种交通管理措施都降低了出行成本，但左转禁令的效果远不如定价。然而，当与拥挤条件下的定价相结合时，左转禁令的有效性显着增加——在某些情况下增加了一倍多。此外，这两项措施以协同方式降低了差旅成本。在某些情况下，这种协同效应导致了 30% 的成本降低。这种强大的协同作用表明，在考虑拥堵收费时，应将禁止转弯作为附加选项。