Transit timetable synchronization for transfer time minimization

Reliability Analysis of Bus Timetabling Strategy during the COVID-19 Epidemic: A Case Study of Yixing, China

“…Factors considered in the study Notes Gkiotsalitis et al [31][32][33][34] Rolling horizons bus fleet allocation, holding control, and transit rescheduling strategies e purpose is to increase the coordination among running buses, avoid vehicle bunching, and obtain the accurate evaluation of bus timetable Salicru et al [35]; Steiner and Irnich [36]; Zhang et al [37]; Ma et al [38] Passenger travel demands extracted from multisource traffic datasets Smarter computational methods were provided to reduce operational costs and improve the server level of bus timetable Domschke [39]; Ceder et al [40]; Eranki [41]; Liu et al [42]; Ibarra-Rojas et al [43][44][45] Bus line network, route choices of passengers, waiting time at nodes, and the operational costs ey developed a series of models to represent the route choice behaviours of various passengers and minimize the operational cost of bus timetables Wong et al [46]; Shafahi and Khani [47]; Kang et al [48]; Guo et al [49,50]; Chu et al [12]; Abdolmaleki et al [51] Trains' run times, station dwell times, interchange waiting times of all passengers, transfer redundant time, and the network accessibility A series of nonlinear programming models were provided to achieve the synchronize timetables in the transit network and improve the transfer efficiency of passengers factors, including the headway in a rolling horizon scheme, greenhouse gas emission policy, and bus line capacity, were also considered to integrate the vehicle procurement scheme and timetabling for urban transport [37,94,95]. In our previous work, we proposed a slack arrival strategy in which transit vehicles are allowed to reach checkpoints somewhat later than the scheduled departure time and delayed vehicles must leave the checkpoints immediately after serving the boarding and alighting passengers [96].…”

Exact and Evolutionary Algorithms for Synchronization of Public Transportation Timetables Considering Extended Transfer Zones

“…A recent article by Abdolmaleki et al [18] proposed a model for timetable synchronization assuming a fixed headway for each line. The authors identified specific cases of the problem that are solvable in polynomial time.…”

Synchronization of public passenger transport subsystems using stochastic simulation: the case of lines with longer headway times

“…Integrated railway network point of view on timetable and its optimization can be represented by Yizhen et al (2020) presenting mixed-integer optimization model for design of a rail network timetable with minimized transfer times. Synchronization of timetables in UPT (bus) networks is solved by Abdolmaleki et al (2019). Optimization problem with congruence constraints is applied as the base for solution.…”