Using GPS Trajectories to Adaptively Plan Bus Lanes

Since bus prioritization policies can help mitigate urban traffic jams, the planning of lanes has drawn considerable attention. Existing methods suffer from a common limitation, which is that limited spatial adaptability resulting certain road condition information cannot be directly specified. Many GPS trajectories have been accumulated and contiguously gathered if needed. This paper proposes trajectory-based lane method. First, we formulize problem as multiobjective optimization in conditions, flow, connectivity lanes, construction cost are organized four constraints, utilization punctuality modeled two objectives. Then, an evolutionary algorithm-based method presented to solve problem. We tested model Nanshan District, Shenzhen City, China. Through comparison with existing survey-based methods, parameters associated conditions this extracted trajectories, more effectively deployed than other methods. cover wide area needed, because proposed executed, adapted large scales.