By W.H.K. Lam, M.G.H. Bell
During this name, specialists in public shipping deal with the present challenge of enhancing public transit structures via benefiting from new applied sciences and complex modelling suggestions. the most important parts open to development are provider making plans and operations administration.
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Extra resources for Advanced Modeling for Transit Operations and Service Planning
89 17 15 Desired Occ. , j = 1, is based not only on the average loads observed, but also on part of the load observed on the first bus in the second hour, j = 2. That is, the average load on the first bus in j = 2 is divided proportionally in order to reflect the demand at the end to the period j = 1. Therefore, at point A and B the loads of 25 and 80 associated with the 8:10 departure, are divided into 3/5 and 2/5 where the 3/5 portion is related to the j = 1 demand. This proportion is stem from the 25 minutes difference between the last departure of the period] = 1 (7:45) and 8:10 where 15 minutes of this time difference belongs to j = 1, and 10 minutes to j = 2.
According to Principle 3 one selects the minimum time between the two to be the first departure at 7:11 (emphasized in Figure 4). It means that the first bus is shifted backward by 4 minutes to have at B, in an average sense, 50 instead of 65 passengers. Then one adds di = 50 to 50 at stop B curve, and to 22 at stop A curve. This results in 7:31 and 7:45 departures. Hence, 7:31 is the next departure, and the procedure continues and results in 7:56 as the last departure at the period [7:00 - 8:10].
In order to avoid this imbalanced situation the following principle is exploited. 7:00 Figure 2. Determination of the example departure times (at A) for evenly spaced headways with a smoothing process between time periods 71 passengers; significantly above the desired 50 passengers. In order to avoid this imbalanced situation the following principle is exploited. Principle 2: construct a curve representing the accumulative loads observed on individual buses at the hourly max load points. Moving horizontally per each dj for all j, until intersecting the accumulative curve, and then vertically, results with the required departure times.
Advanced Modeling for Transit Operations and Service Planning by W.H.K. Lam, M.G.H. Bell