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To this end, roads with maximum travel demand coverage are sorted as the most critical ones, for which a method known as "link analysis"—is adopted.
To this end, roads with maximum travel demand coverage are sorted as the most critical one, for which a method widely popular among practitioners known as "link analysis" is adopted.
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Using the concept of reserve capacity of signal-controlled junctions, the problem of finding the maximum possible increase in travel demand and determining optimal link capacity expansions can be formulated as optimization programs.
In this paper, we present a new solution approach for simultaneously solving the maximum increase in travel demands and minimizing total delays of travelers.
A frequency plan consistent with the optimal capacity is then proposed in order to eliminate the number of transfers between lines as well as to minimize the network fleet size, determining the minimum number of vehicles needed to serve all travel demand at maximum occupancy.
In this paper, an optimization model is established for the maximum increase in travel demands in a signal-controlled road network with link tolls.
In order to highlight this phenomenon, Figs. 7, 8 and 9 show for each planned headway and for each travel demand level, the maximum and the minimum actual headways obtained by implementing the converging dwell times in the simulation model and then selecting the maximum and minimum values among all the resulting headways (i.e. for each run and for each station).
For a signalized road network with expansions of link capacity, the maximum possible increase in travel demands is considered while total delays for travelers are minimized.
The maximum headway function is generated to ensure the service of the train operational plan without considering travel demand, then we present a model to minimize the number of train trips, and design a heuristic algorithm to maximize the train headway.
Yet travel demand itself isn't stagnant; it's growing.
Air travel demand is up, especially as business travel starts to come back.
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