Integrated optimization of timetable, bus formation, and vehicle scheduling in autonomous modular public transport systems

Liu, Zhengke; Homem de Almeida Correia, Gonçalo; Ma, Zhenliang; Li, Shen; Ma, Xiaolei

doi:10.1016/j.trc.2023.104306

Cited by 13 publications

(3 citation statements)

References 53 publications

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“…Utilizing technologies such as GPS, mobile internet, and sensor data to monitor truck positions and traffic conditions in real-time. Based on this information, real-time scheduling and path planning capabilities are enabled [ 15 , 16 ].…”

Section: Literature Reviewmentioning

confidence: 99%

Enhancing shipyard transportation efficiency through dynamic scheduling using digital twin technology

Sun,

Liang,

Chang

2024

PLoS ONE

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Uncertainties, such as road restrictions at shipyards and the irregular shape of blocks, pose challenges for transporter scheduling. Efficient scheduling of multiple transporters is critical to improving transportation efficiency. The digital twin (DT) technology offers numerous benefits, enabling interactions between the virtual and real worlds, real-time mapping, and dynamic performance evaluation. Based on DT technology, this study proposes a dynamic scheduling approach for cooperative transportation utilizing multiple transporters. The scheduling problem for multiple transporters is addressed and modeled in this study, considering factors such as block size and transporter loading. To solve this problem, a framework of DT-based multiple transporters system is established in a virtual environment. By inputting block information into this system, a solution is generated using transporter scheduling rules and interference detection methods. Experimental comparisons are conducted in this paper, exploring various scenarios with different number of tasks and the application of DT. The results demonstrate that the proposed approach effectively enhances transportation efficiency and improves ship construction efficiency. Hence, this study expands the application of DT technology in dynamic scheduling of transportation in shipyards and provides new ideas for shipbuilding company managers.

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Section: Literature Reviewmentioning

confidence: 99%

Enhancing shipyard transportation efficiency through dynamic scheduling using digital twin technology

Sun,

Liang,

Chang

2024

PLoS ONE

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“…Khan et al [4] designed a stop-skipping strategy leveraging physical coupling and uncoupling features of AMBs to minimize the passengers' travel time. Aiming at minimizing the AMB system's overall operating costs, Liu et al [7] established a collaborative optimization model to find the optimal timetable, AMB dispatching plan, and vehicle formation. This model permitted the AMB to uncouple from one vehicle and couple to another vehicle in either direction on a bi-directional route.…”

Section: Flexible Capacity Design For Transit Servicesmentioning

confidence: 99%

“…The AMBs are electrically powered buses equipped with autonomous driving capabilities, which can operate independently on a specific route and physically couple and uncouple as operationally needed. This means that the spatiotemporal heterogeneity of passenger demand can be solved by adjusting the number of AMBs performing different trips [5][6][7]. Furthermore, it is permissible to specify which vehicle provides energy during the trip when several AMBs are coupled to perform a trip together.…”

Section: Introductionmentioning

confidence: 99%

Optimal Vehicle Scheduling and Charging Infrastructure Planning for Autonomous Modular Transit System

Chang,

Cong,

Wang

et al. 2024

Sustainability

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Prioritizing the development of public transport is an effective way to improve the sustainability of the transport system. In recent years, bus passenger flow has been declining in many cities. How to reform the operating mode of the public transportation system is an important issue that needs to be solved. An autonomous modular bus (AMB) is capable of physical coupling and uncoupling to flexibly adjust vehicle capacity as well as provide high-quality service under unbalanced passenger demand conditions. To promote AMB adoption and reduce the operating cost of the bus route, this paper presents a joint optimization method to simultaneously determine the AMB dispatching plan, charging plan, and charging infrastructure configuration scheme. Then, a mixed-integer programming model is formulated to minimize the operating costs of the bus route. A hybrid intelligent algorithm combining enumeration, cloning algorithm, and particle swarm optimization algorithm is designed to resolve the formulated model. Subsequently, an actual bus route is taken as an example to validate the proposed method. Results indicate that the developed method in this paper can reduce the operating costs and operational energy consumption of the route compared with the real route operating plan. Specifically, the reduction ratio of the former is 23.85%, and the reduction ratio of the latter is 5.92%. The results of this study validate the feasibility and advantages of autonomous modular transit service, contributing positively to the sustainable development of the urban public transportation system.

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Evaluating public a priori acceptance of autonomous modular transit using an extended unified theory of acceptance and use of technology model

Rejali,

Aghabayk,

Mohammadi

et al. 2024

Journal of Public Transportation

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Integrated optimization of timetable, bus formation, and vehicle scheduling in autonomous modular public transport systems

Cited by 13 publications

References 53 publications

Enhancing shipyard transportation efficiency through dynamic scheduling using digital twin technology

Enhancing shipyard transportation efficiency through dynamic scheduling using digital twin technology

Optimal Vehicle Scheduling and Charging Infrastructure Planning for Autonomous Modular Transit System

Evaluating public a priori acceptance of autonomous modular transit using an extended unified theory of acceptance and use of technology model

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