Optimizing sustainable feeder bus operation considering realistic networks and heterogeneous demand

DiJoseph, Patricia; Chien, Steven

doi:10.1002/atr.174

Cited by 18 publications

(14 citation statements)

References 17 publications

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“…Chien [11] optimized bus size, route and headway that minimized total cost for a feeder service. DiJoseph and Chien [12] optimized stop locations, headway and fare that maximized total profit for a feeder bus service.…”

Section: A Transit Network Design (Tnd)mentioning

confidence: 99%

Optimizing Multi-Terminal Customized Bus Service With Mixed Fleet

Sun

Chien

et al. 2020

IEEE Access

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The customized bus (CB) transit is recognized as an effective transportation mode offering more flexible and demand-responsive service than traditional bus transit with fixed route and schedule, especially during the peak hours. The novelty of this study is the development of a mixed integer non-linear model for optimizing multi-terminal CB service in an urban setting. According to the estimated spatiotemporal passenger demand, the objective total cost, consisting of supplier's and users' costs, is minimized subject to capacity and time window constraints. A mixed bus fleet with various bus sizes is employed to accommodate passenger demand, which increases vehicle utilization and reduces supplier's cost. The inconvenience of passengers caused by early arrival at the destination is treated as penalty and considered in users' cost. The study optimization problem is combinatorial with many decision variables including trip assignment, bus routing and associated timetables, and fleet size. A hybrid genetic algorithm (HGA) which integrates the features of genetic algorithm (GA) and simulated annealing (SA) is developed to effectively search for the optimal solution. A real-world CB network is employed to demonstrate the applicability of the developed model and explore the relation between the model parameters and optimized results. It was found that the total cost can be reduced by 16.5% after employing multiple terminals and a mixed bus fleet.

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Section: A Transit Network Design (Tnd)mentioning

confidence: 99%

Optimizing Multi-Terminal Customized Bus Service With Mixed Fleet

Sun

Chien

et al. 2020

IEEE Access

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“…Mohaymany et al [28][29][30][31] enabled the network design to have various capacity and performance, and then introduced an ant colony algorithm to find better routes, which can attract more private car users to use public transport. Alshalaflah et al [32][33][34][35][36] studied the feasibility and advantages of using flexible route services instead of fixed connecting bus lines, and selected three lines in the suburb of Toronto with regional commuter rail lines for simulation. The result showed that it is significant to allocate appropriate slack time to provide effective flexible line service.…”

Section: Coordination and Optimization Of Rail And Public Transportmentioning

confidence: 99%

Optimizing Bus Line Based on Metro-Bus Integration

Wei

Long

et al. 2020

Sustainability

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Metros are usually built and added on the basis of a completed bus network in Chinese cities. After the metro construction, it is faced with the problem of how to adjust and optimize the original bus lines based on the new metro system. This research mainly proposes a bus line optimization method based on bus and metro integration. In the consideration of the geographical space, the cooperation and competition relationship between bus and metro lines is qualitatively introduced according to the geographical location and service range of metro (800 m radius) and bus (500 m radius) stations. The competition and cooperation indexe sare applied to define the co-opetition relationship between bus and metro lines. The bus line optimization model is constructed based on the co-opetition coefficient and Changsha Metro Line Number 2 is chosen as a case study to verify the optimization model. The results show that the positive competition, efficient cooperation, and travel efficiency between metro and bus has been significantly enhanced after optimization. Moreover, this paper provides a reasonable reference for public transport network planning and resource allocation.

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“…The transfers and connections between URT and buses is a popular research topic in passenger multimodal transport. The two main research areas are a) optimization of the layout of station or transfer facilities [6]- [8] and b) optimization of the lines or schedules of the bus for connecting to URT [9]- [12]. In view of the unexpected interruption of URT, Jin et al [13] proposed optimizing the bus-bridge service to better evacuate stranded passengers.…”

Section: Related Workmentioning

confidence: 99%

Optimization of Urban Rail Transit Connection Scheme for Evacuating Large Volumes of Arriving Railway Passengers

Feng

Song

et al. 2020

IEEE Access

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Urban rail transit (URT) is an essential mode of travel used for evacuating passengers from railway stations. To provide timely and safe connecting services for passengers arriving at railway hubs, it is recommended for URT operators to develop a coordinated connection scheme considering the periodic incoming volume of railway passengers. According to the fluctuation characteristics of the large passenger flows in railways, this paper presents a reasonable scheme for increasing the capacity of URT trains. First, a method for calculating the effective evacuation capacity of URT trains and determining the time range that should be optimized according to the transportation capacity matching degree is proposed. The dwell time and departure interval are taken as decision variables in this adjustment period. Two constraints are considered: capacity convergence and the maximum safe capacity of the platform. Based on the consideration of reserved capacity for subsequent sections, the objective is to optimize the degree of matching between the effective evacuation capacity of the URT and the transfer demand of the arriving railway passengers. A multi-objective nonlinear integer-programming model is established for the coordinated connection of URT trains with large passenger flows, and a solution process of a train connection scheme is designed that involves a genetic algorithm. Finally, the effectiveness of the proposed model and algorithm is analyzed and verified by considering the Shanghai Hongqiao Hub-a transfer station between a high-speed railway and URT-as an example. INDEX TERMS Urban rail transit, connection scheme, passenger evacuation, integer programming, genetic algorithm.

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Optimizing sustainable feeder bus operation considering realistic networks and heterogeneous demand

Cited by 18 publications

References 17 publications

Optimizing Multi-Terminal Customized Bus Service With Mixed Fleet

Optimizing Multi-Terminal Customized Bus Service With Mixed Fleet

Optimizing Bus Line Based on Metro-Bus Integration

Optimization of Urban Rail Transit Connection Scheme for Evacuating Large Volumes of Arriving Railway Passengers

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