Vehicles traveling along interrupted flow facilities often exhibit travel times with bimodal distributions. The characteristics of these distributions have been studied extensively in the literature, yet the effect of signal control on bimodality have received little attention. Most researchers theorize that the slower group experiences signal delay while the faster group does not. We investigate the effect of signal control on bimodal distributions, specifically the difference between average travel times of two groups of vehicles. Testing is performed in simulation and compared against field results of both sampled data using Bluetooth sensors as well as non-sampled data from the NGSIM vehicle trajectories. In coordinated corridors with platooning, we find that red time is a strong indicator of gap between average travel times.
Proactive travel time predictions under interrupted flow condition
