Demand-responsive transit circulator service network design

Yao, Yu; Machemehl, Randy B.; Xie, Chi

doi:10.1016/j.tre.2015.02.009

Cited by 35 publications

(20 citation statements)

References 19 publications

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“…Constraint (18) guarantees that no time conflict exists for each bus run serial number k executed by the same vehicle.…”

Section: R∈r Y Krmentioning

confidence: 99%

“…Sivakumaran et al [17] demonstrated that when the feeder and main buses are coordinated, passenger cost reduction is often greater than the increase in connecting operation cost, which reduces costs for both passengers and bus operators. Yu et al [18] tailored the FTS for people traveling from a fixed rail station to their final work destinations and from the latter to the former, and a bilevel nonlinear mixed-integer programming model is constructed to tackle the flexible feeder transit service design problem (FFTS). Relative to dispatching and operation plans of FFTS considering connections with traditional bus lines, Li et al [19] optimized the collection points and vehicle routes to minimize the access cost of passengers and the operation cost.…”

Section: Introductionmentioning

confidence: 99%

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Optimizing Centralized Dispatching of Flexible Feeder Transit considering Transfer Coordination with Regular Public Transit

Wang

Jia

Wei

et al. 2021

Mathematical Problems in Engineering

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Optimizing centralized dispatching of flexible feeder transit to provide transport and transfer services is important and theoretically challenging for real-world applications. Considering transfer coordination with regular public transit, a multiobjective optimization model that can output an operation plan containing vehicle routes and a timetable for a bus fleet is proposed. By establishing constraints for parameters such as maximum acceptable advance or delay time of transfer, rated passenger capacity, and maximum travel time of a single trip, the proposed model attempts to maximize the successful response ratio, minimize the passengers’ average time costs, and minimize the operating costs of a single passenger. A genetic algorithm was designed to solve the optimal solution, and computational experiments were conducted in a residential area in Beijing. Results reveal that the proposed model and algorithm can be applied in the operation of flexible feeder transit. Moreover, compared with the distributed dispatching method, the value of the optimal objective function in the proposed model was improved by 26%. Although the successful response ratio showed a 29.3% increase and the average passenger time cost showed a small drop, the operating costs per passenger were reduced by 30.7%. The different weight coefficients of the subobjective function and maximum acceptable advance or delay time of transfer could result in different optimal operation plans. Essentially, the optimization procedures for the successful response ratio and the operating costs are in the same direction, whereas the one for the passenger’ cost is in the opposite direction. However, operators should select appropriate values to optimize operation plans.

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“…Constraint (18) guarantees that no time conflict exists for each bus run serial number k executed by the same vehicle.…”

Section: R∈r Y Krmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimizing Centralized Dispatching of Flexible Feeder Transit considering Transfer Coordination with Regular Public Transit

Wang

Jia

Wei

et al. 2021

Mathematical Problems in Engineering

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“…Equation 33indicates that the length of visiting time window is not related to k, so the actual visiting time window of all passengers in trip m are of equal length. In fact, these access time windows shape a elastic time band for the feeder plan, and the band width of route m (RTW P,m ) is calculated as (34).…”

Section: The Flexible Time Window Of Feeder Routementioning

confidence: 99%

“…Presented with full spatial-temporal constraints, [33] optimized vehicle routes and passenger assignment procedure to cut down the operation cost. Yu et al tailored the DRC service for people traveling from a fixed rail station to their final work destinations, and a bi-level nonlinear mixed integer programming model is constructed to tackle the feeder bus network design problem (FBNDP) [34]. Focus on FBNDP, [35] optimized the collection points and vehicle routes to minimize the access cost of passengers and the operation cost.…”

Section: Introductionmentioning

confidence: 99%

Compatibility-Based Approach for Routing and Scheduling the Demand Responsive Connector

2020

IEEE Access

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This study concentrates on the routing and scheduling problem of Demand Responsive Connector to build feeder plans for people traveling from and to transit hub. An in-depth analysis on the characteristics of feeder services was implemented to inspire the compatibility-based algorithm design. With the goal of reducing operating cost and passenger inconvenience, the proposed algorithm took several factors critical to the real-word operation into consideration, such as double time window assurance (the time constraints at the beginning and end of passenger travels), the flexibility of feeder plans, and the number of vehicles. Our method was validated on numerical instances of 400, 600, 800 and 1000 passengers. Simulation results show that the compatibility-based algorithm can effectively reduce the number of vehicles with acceptable increase of passengers' inconvenience, and can improve the algorithm efficiency considerably. In addition, the setting of flexible time window of shutter plan can hold some elasticity for feeder services. Sensitivity analysis was conducted to help service providers evaluate the trade-off between the operation cost and level of service. INDEX TERMS Compatibility-based approach, demand responsive connector, routing and scheduling.

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“…From the perspective of urban rail transit operators, a bus circulator system is a cost-effective means to connect urban rail stations to final destinations; therefore, supporting a more competitive multimodal transportation solution to increase the potential urban rail ridership may be a better choice [29]. Bus lines surrounding urban rail transit stations could not only meet transfer demand but also encourage transfer passengers who are traveling by walking, nonmotor vehicles, or taxis to move onto public transportation modes [30].…”

Section: Introductionmentioning

confidence: 99%

Route Design Model of Multiple Feeder Bus Service Based on Existing Bus Lines

Zheng

Zhou

Liu

et al. 2020

Journal of Advanced Transportation

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The feeder bus, as an important component of urban public transportation systems, is capable of filling the existing service gap left by urban rail transit to satisfy feeder demand. Two challenges to taking advantage of the feeder bus are identified. The first challenge is to identify the service gap, and the second one is to strengthen the coordination of multilevel urban traffic modes. Given these two challenges, this paper established a route design model that introduced a feeder bus demand coefficient to quantify feeder demand for each bus stop. To assist the design of feeder bus routes, an optimization approach based on the tabu search algorithm was proposed. Considering the sizeable combinational optimization problem, the algorithm decomposed this problem into three phases: feeder area partition, candidate stop selection, and route design problem. In the first phase, the entire area was partitioned into several subareas and the specific boundary nodes were moved into an adjacent subarea. Then, the stops with the minimum overall travel cost from every subarea were chosen as candidate ones under the limit of operating costs. The last step was to find the shortest circular route to visit each candidate stop and determine the operating direction. The proposed optimization had been implemented in a downtown area of Suzhou, China, in order to verify its effectiveness through the performance in terms of the quality of optimal solutions and computing efficiency. In addition, a possibility of simplifying a multiple circular route design problem to a single route design problem utilizing spatial clustering is provided to enhance the computing efficiency in a large-scale network.

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Demand-responsive transit circulator service network design

Cited by 35 publications

References 19 publications

Optimizing Centralized Dispatching of Flexible Feeder Transit considering Transfer Coordination with Regular Public Transit

Optimizing Centralized Dispatching of Flexible Feeder Transit considering Transfer Coordination with Regular Public Transit

Compatibility-Based Approach for Routing and Scheduling the Demand Responsive Connector

Route Design Model of Multiple Feeder Bus Service Based on Existing Bus Lines

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