Use a computer model and growth projections to simulate future demands on the transit network. Use a multi-objective optimizer (e.g. NSGA-III) to find the best transit options where the optimization functions: (1) reduce the average commute time, (2) minimize the cost to implement, (3) minimize the time to implement, (4) maximizes safety of the system, (5) minimizes standard deviation in commute time due to unforeseeable accidents, maintenance, etc. The model would have to be stochastic in nature to account for these real world happenings. The different transit options available to the optimizer include metro, bus, dedicated lanes, smart traffic light systems, HOV networks, dynamic highways, time-sensitive lanes, and even promoting telework stations. Let the optimizer present us with good choices and sort through all these variables!
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