Abstract
It has been empirically observed for years that the queue
discharge rate is lower than the pre-queue capacity. This is
called the capacity drop. The magnitude of capacity drop varies over a wide range depending on the local traffic conditions. However, up to now it is unknown what determines the capacity drop value. In fact, there is still no thorough empirical analysis revealing a reliable relation between the congestion level and the capacity drop. This paper tries to fill in the gap by revealing the relation between the vehicle speed in congestion and the queue discharge rate
through empirical analysis. The queue discharge rate is shown to increase considerably with increasing speed in the congestion. This finding indicates a promising speed-control scheme for increasing queue discharge rates.
discharge rate is lower than the pre-queue capacity. This is
called the capacity drop. The magnitude of capacity drop varies over a wide range depending on the local traffic conditions. However, up to now it is unknown what determines the capacity drop value. In fact, there is still no thorough empirical analysis revealing a reliable relation between the congestion level and the capacity drop. This paper tries to fill in the gap by revealing the relation between the vehicle speed in congestion and the queue discharge rate
through empirical analysis. The queue discharge rate is shown to increase considerably with increasing speed in the congestion. This finding indicates a promising speed-control scheme for increasing queue discharge rates.
| Original language | English |
|---|---|
| Number of pages | 2 |
| Publication status | Published - 2015 |
| Event | Transportation Research Board 94th annual meeting - Washington, United States Duration: 11 Jan 2015 → 15 Jan 2015 |
Conference
| Conference | Transportation Research Board 94th annual meeting |
|---|---|
| Country/Territory | United States |
| City | Washington |
| Period | 11/01/15 → 15/01/15 |