Vehicle dispatching in modular transit networks: A mixed-integer nonlinear programming model

Optimal design method of public transit network considering transfer efficiency

“…For example, Pei et al. [31] and Zhang et al. [32] used mixed integer linear programming to model this problem.…”

Modular vehicle technology for emergency medical services

“…buses, taxis), this novel modular transport system has the potential of reducing passenger delays and improving vehicle occupancy at high and low demand levels, respectively. Subsequently, the emerging studies ( Guo et al, 2018 , Gecchelin and Webb, 2019 , Chen et al, 2019 , Chen et al, 2020 , Zhang et al, 2020 , Dakic et al, 2021 , Dai et al, 2020 , Shi et al, 2020 , Caros and Chow, 2021 , Chen and Li, 2021 , Shi and Li, 2021 , Gong et al, 2021 , Pei et al, 2021 , Saeed et al, 2022 ) investigating the use of modular vehicle technology mostly focus on designing these new modular transit systems with variable capacity to ultimately achieve optimal operations. Nevertheless, the modular vehicle technology is largely versatile with promising benefits to services-in-motion and logistic applications (such as door-to-flight direct services, last mile parcel delivery, etc.…”

Dispatching Design for Customized Bus of Hybrid Vehicles Based on Reservation Data

“…Among the constraints, Equation (4) indicates that the vehicle entering the station should leave; Equation (5) indicates the number of passengers getting on at each station; Equation (6) indicates the number of passengers getting off at each station; Equation (7) indicates the range of the number of passengers getting on at each station; Equation (8) indicates the range of the number of passengers getting off at each station; Equation (9) indicates the passenger flow range at ground stations; Equation (10) indicates the range of passenger flow at elevated stations; Equation (11) indicates the limit of the number of vehicles of all types at each station; Equation (12) indicates the waiting time of passengers at stations; and Equation (13) indicates the waiting time range of each passenger at each station.…”

“…e iteration curve calculated by the genetic algorithm is shown in Figure 8 (iteration time 1 min 5 s). Since the APP sets the appointment time period as 10 minutes and the computer iteration time is 1 min 5 s, the rationality of the appointment time interval set by APP can be verified by (13). Calculated by the genetic algorithm, the output results are listed in Table 8.…”

“…Liu et al [12] used the deficit function to solve the minimum fleet size of modular vehicles in the public transportation system. Pei et al [13] proposed the concept of modular transportation network system (MTNS) to overcome the mismatch between the fixed vehicle capacity and the changing travel demand of space in the traditional public transportation system. Liu et al [14] developed a two-stage solution to improve flex-route transit services.…”