Inter-city bus routing and timetable setting under stochastic demands

Short-term manpower planning for MRT carriage maintenance under mixed deterministic and stochastic demands

“…To the best of our knowledge, there has been no research specifically discussing carriage maintenance manpower supply planning under stochastic/mixed deterministic and stochastic demands, although planning problems with stochastic disturbances have been studied in other fields (such as Mulvey and Ruszczyński 1995;Du and Hall 1997;Yan et al , 2006cKenyon and Morton 2003;List et al 2003). We also note that it has been widely recognized in the industry that flexible management strategies can increase the different degrees of freedom in the schedule, thus conserving manpower (Blyton and Morris 1992).…”

Design of timetable for airport coach based on ‘time–space’ network and passenger’s trip chain

“…The results show that the timetable design in the 'hub-and-spoke' network should consider the operation cost, the routes and passengers' demand. Yan et al (2006a) develop an integrated scheduling model, which combines the airport selection, fleet routing and timetable setting of air cargos. In the analysis, the cargo flow is analyzed based on the 'time-space' network.…”

Timetable coordination of first trains in urban railway network: A case study of Beijing

“…They 35 aimed to compute the ideal buffer times for each connection, which was subsequently used in the 36 linear program model for re-scheduling. Yan et al (2006) developed a scheduling model which 37 considers stochastic demand. They applied a simulation technique, coupled with link-based and 38 path-based routing strategies, to develop two heuristic algorithms to solve the problem.…”

“…The key is to give priority to 19 minimize the connection time in lines with higher degree and at more important stations. The 20 proposed importance degrees can assist in dealing with this problem effectively, with less 21 important stations and lines in the suburb making a negligible contribution to the total connection 22 time. Thus, the objective of the first train optimization problem can focus on the stations or lines 23 which have high importance degree.…”

“…The result shows that the total transfer connection time is significantly 19 reduced and the just-missed situations avoided. 20 For further research, we suggest that the extra travelling time should be considered as a 21 non-deterministic factor in research of transfer optimization. The first train groups problem (This 22 was a timetabling problem involving not only the first train, but consecutive trains in the morning 23 period) that are compatible with passenger volume can be calculated by considering the transfer 24 coordination.…”