Methodology Several sites experiencing freeway merge / diverge deficiencies and speed-change areas resulting in capacity reduction were selected for analysis of these control strategies, including:…

Methodology Researchers conducted a case study based on a 13-mile segment of I-66, between the I–495 interchange and US 29 interchange. Speed and volume data, on- and off-ramp traffic volume data,…

Methodology Using a microscopic simulation model test bed, the researchers evaluated the proposed control algorithm's performance compared with three other approaches. Baseline - Human…

FINDINGS Experimental findings suggested stop-and-go freeway traffic flow can be controlled to improve fuel economy and throughput with as few as 5 percent autonomous vehicles in the traffic stream…

FINDINGS Experimental findings suggested stop-and-go freeway traffic flow can be controlled to improve fuel economy and throughput with as few as 5 percent autonomous vehicles in the traffic stream…

FINDINGS The study found that the introduction of control zones and the optimal control framework significantly decreased following distances for both local and highway traffic. This was primarily…

FINDINGS The figure below extracted from the source document shows a comparison of the maximum dedicated lane throughput achieved through CACC implementation at different levels of market…

FINDINGS The figure below extracted from the source report shows traffic speed profiles on I-66 (WB) and the potential for reduced traffic shockwaves when DSH is combined with CACC at market…

Findings The suggested approach was found to reduce per-vehicle fuel consumption by 12 to 17 percent over the base case scenario and 2 to 12 percent over the state-of-the-art variable speed limit…