Transit Signal Priority Enabling Connected and Automated Buses to Cut Through Traffic

This research proposes a TSPcut controller that enables connected and automated buses to cut through traffic make TSP green light. The proposed overcomes the shortcomings of conventional strategies is able to: 1) overtake slowing moving vehicles in order catch time; 2) decide best time pass intersection; 3) considering stochasticity surrounding traffic; 4) functional under partially environment. It takes full advantage vehicle technology by taking real-time infrastructure information as optimization input. problem formulated an SMPC solved high-efficient dynamic programming algorithm. nonlinear bicycle model adopted system dynamics realize CAV bus’s lane-changing overtaking function. considered probability distribution which transformed into linear chance constraint. Simulation evaluation conduct compare against NTSP, CTSP BocTSP. Sensitive analysis conducted for congestion levels. results demonstrate improves bus delay reduction 17.9%–49.1%, benefits are 3.5% 16.1% greater than other systems. range caused different In addition. Further tests analyze how arrival speed background influence performance TSPcut.