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Finally, the consideration of crowding externalities (on both seating and standing) imposes a sizeable increase in the optimal bus fare, and consequently, a reduction of the optimal bus subsidy.
Sheffi, Y. and Sugiyama, M. Optimal Bus Scheduling for a Single Bus Route: The Time Dependent Case, Transportation Research Record, 895:46-62, May 1983.
Certainly determination of optimal bus network is highly sensitive to any change of demand, thus it is desirable not to consider average or estimated figures, but to take into account prudently the variations of the demand.
We find that optimal bus frequency results from a trade-off between the level of congestion inside buses, i.e., passengers' crowding, and the level of congestion outside buses, i.e., the effect of frequency on slowing down both buses and cars in mixed-traffic roads.
In this case, the proposed algorithm identifies the optimal bus voltage magnitudes, transformer tap settings and reactive power outputs.
For instance, if you can predict where people will need to go tomorrow, then you can create optimal bus routes, minimizing time to destination and walking distance, taking into account predicted traffic, weather and garbage collection schedules.
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We present a new genetic algorithm which determines optimal feeder-bus operating frequency under strictly constraints condition.
The approach extends the nested fixed point algorithm by Rust [1987. Optimal replacement of GMC bus engines: an empirical model of Harold Zurcher. Econometrica 55 5), 999 1033; 1988. Maximum likelihood estimation of discrete control processes.
The optimal location for 15 bus test system is 6.
For optimal power flow, branch and bus sensitivity for IEEE 14 bus wind-integrated system can be calculated.
The optimal location for 33-bus system is 15.
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