Mixed Scheduling Strategy for High Frequency Bus Routes With Common Stops

Abstract

Bus routes overlapping would lead to more than one bus entering the stop simultaneously, which may trigger bus bunching. Focusing on high frequency routes with common stops, this paper proposes a mixed scheduling method combining the all-stop service and the stop-skipping service. The method optimizes scheduling strategies for multiple routes by minimizing total passenger travel time. The optimization variables are binary variables reflecting whether the stops in the overlapping area are skipped. Three exciting bus routes are employed for case study. Results show that the proposed method reduces total passenger travel time by 21.4% compared with the current scheduling strategy. INDEX TERMS Mixed bus scheduling, common stops, high frequency routes, passenger travel time.

Cross-Regional Customized Bus Route Planning Considering Staggered Commuting During the COVID-19

“…Huang et al [18] established a two-stage framework and optimized the bus route by establishing three nonlinear programming models. Bie et al [19] proposed a mixed scheduling method combining the all-stop service and the stop-skipping service, the method optimizes scheduling strategies for multiple routes by minimizing total passenger travel time. Han et al [20] presented a detailed flow chart of a CB network planning methodology, including individual reservation travel demand data processing, CB line origin destination (OD) area division considering quantity constraints of demand in areas and distance constraints based on agglomerative hierarchical clustering.…”

“…If it is 0, it means that the Q value of all the "stateactions" experienced by state t s has been updated; if it is not 0, continue to index the previous sequence " The Q value of "state-action" is updated until all Q values are updated, so that the Q values of n states are updated without repeated training n times. The update formula is shown in equation (19), where 1, 2,..., 2,1…”