Design of Two-Regional Flexible-Route Bus Systems considering Interregional Demands

Wang, Siqing; Wang, Jian; Song, Lang; Niu, Zhipeng; Hu, Xiaowei

doi:10.1155/2022/9372011

Cited by 5 publications

(2 citation statements)

References 41 publications

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“…It is vitally important to determine operation time and service area when planning and designing a demand-responsive transit service. However, most studies on demand-responsive transit do not pay enough attention to this stage but focus on optimizing routes [10,11], schedules [12,13], etc., under the assumption of ideal spatio-temporal demand distribution.…”

Section: Literature Reviewmentioning

confidence: 99%

Planning Flexible Bus Service as an Alternative to Suspended Bicycle-Sharing Service: A Data-Driven Approach

Wang

Tian

Yang

et al. 2023

Journal of Advanced Transportation

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Many free-floating bicycle-sharing (FFBS) operators in cold region cities will put bicycles in warehouses and suspend services in winter due to factors such as safety and maintenance costs, resulting in the corresponding travel demand no longer be met. Considering the short-distance and green travel characteristics of FFBS, the flexible bus, as a sustainable demand-responsive transit service, is a suitable alternative transportation mode. To operate such a flexible bus system, service area and operation time planning is a key stage, however, the planning methods in relevant studies are not suitable for this research scenario. In view of the above, this paper proposed a data-driven method to determine the service area and operation time of flexible buses based on FFBS data. Firstly, an FFBS trip path reconstruction algorithm consists of fine-grained road network modelling and trajectory matching is proposed. Then, in the defined time slice, incorporating the idea of ride-sharing routes generation, according to the density-based clustering principle and considering topology between trajectories, a path clustering algorithm PATHSCAN is developed to generate the one-day path clusters. After that, a frequent pattern mining algorithm is applied to the multiday path clusters, and frequent pattern results with spatio-temporal correlation will be merged into the final service area. The generated planning results will cover ride-matching trips and high-frequency riding paths. Detailed application analysis and verification are carried out by using the real data from Tianjin, China. Through the evaluation and verification under the relatively limited experimental data set, the proposed data-driven method shows ideal planning results. Flexible bus service can supplement the green short-distance travel mode after the suspension of FFBS and can avoid FFBS travel demands switched to unsustainable transportation modes to a large extent. This study will contribute to urban sustainable transportation development and improving greenness.

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Section: Literature Reviewmentioning

confidence: 99%

Planning Flexible Bus Service as an Alternative to Suspended Bicycle-Sharing Service: A Data-Driven Approach

Wang

Tian

Yang

et al. 2023

Journal of Advanced Transportation

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“…For flexible transit, a larger service area may lead to conflicting service efficiency and coverage. On this basis, to balance the relationship between users and operators, Wang et al ( 14 ) used a zoning strategy to design the area effectively. The optimal network layout for regional flexible transit was determined.…”

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confidence: 99%

Routing Optimization of Regional Flexible Transit Under the Mixed Demand Mode

Wang

et al. 2023

Transportation Research Record: Journal of the Transportation R

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To meet trip demands and avoid transit capacity waste or shortages, this study investigates the routing optimization of flexible transit with time windows. We introduce the time penalty costs to accommodate the impacts of early and late vehicle arrivals on passengers’ satisfaction. A routing optimization model is developed to minimize the system operation costs and the costs incurred by passengers' time penalties. The problem is solved by a designed adaptive genetic algorithm that adopts an adaptive mutation strategy to dynamically adjust the mutation probability and mutation operator. The numerical experiments compare the results of the mixed demand model, in which vehicles can pick up and drop off passengers simultaneously, to those of the separate pick-up and delivery modes. Finally, a sensitive analysis is conducted to explore the impact of operational factors (vehicle speed, maximum one-way travel time, and weighting ratios between operating and penalty costs) on the system's performance (total costs, per capita mileage, and average seat occupancy rate). Our results confirm the advantages of the developed adaptive genetic algorithm over traditional ones with respect to the convergence speed and optimality gap. Moreover, the numerical results indicate that the mixed demand operation mode of transit reduces total costs by an average of 2.35% compared to separate pick-up and delivery modes. The results also reveal that an increase in the weights of the operating cost can reduce the total cost. The findings of this work can provide guidance to the operation of regional flexible transit.

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Modeling and Predesign Analysis of Electric Vehicle Considering Ethiopian Driving Cycle

Mamo,

Gopal,

Yoseph

2024

Int.J Automot. Technol.

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Design of Two-Regional Flexible-Route Bus Systems considering Interregional Demands

Cited by 5 publications

References 41 publications

Planning Flexible Bus Service as an Alternative to Suspended Bicycle-Sharing Service: A Data-Driven Approach

Planning Flexible Bus Service as an Alternative to Suspended Bicycle-Sharing Service: A Data-Driven Approach

Routing Optimization of Regional Flexible Transit Under the Mixed Demand Mode

Modeling and Predesign Analysis of Electric Vehicle Considering Ethiopian Driving Cycle

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