
Abstract This paper analyzes the optimal timetable for a given number of public transport vehicles on a single transit line when riders differ with respect to the times at which they prefer to travel and the schedule delay costs they incur from traveling earlier or later than desired. The problem of minimizing riders' total schedule delay costs is formulated in continuous time and first-order optimality conditions are identified. An explicit solution is derived for the “line” model in which preferred travel times are uniformly distributed in the population over part of the day and trips cannot be rescheduled between days. This solution is compared with the optimal schedule for the “circle” model in which preferred travel times are uniformly distributed over the full 24 h day and trips can be rescheduled between days.
Optimization, Mass transit, Trip timing, Travel time, 330, Scheduling, Public transit, 380, Timetables, Transit riders, Local transit, Costs, Delay costs, Optimisation, Transit, Journey time, operations - scheduling, mode - mass transit
Optimization, Mass transit, Trip timing, Travel time, 330, Scheduling, Public transit, 380, Timetables, Transit riders, Local transit, Costs, Delay costs, Optimisation, Transit, Journey time, operations - scheduling, mode - mass transit
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 102 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 1% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
