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A hybrid control strategy for a dynamic scheduling problem in transit networks

Liu Zhongshan, Yu Bin, Zhang Li, Wang Wensi

International Journal of Applied Mathematics and Computer Science

2022

Vol. 32, no. 4

553--567

Public transportation is often disrupted by disturbances, such as the uncertain travel time caused by road congestion. Therefore, the operators need to take real-time measures to guarantee the service reliability of transit networks. In this paper, we investigate a dynamic scheduling problem in a transit network, which takes account of the impact of disturbances on bus services. The objective is to minimize the total travel time of passengers in the transit network. A two-layer control method is developed to solve the proposed problem based on a hybrid control strategy. Specifically, relying on conventional strategies (e.g., holding, stop-skipping), the hybrid control strategy makes full use of the idle standby buses at the depot. Standby buses can be dispatched to bus fleets to provide temporary or regular services. Besides, deep reinforcement learning (DRL) is adopted to solve the problem of continuous decision-making. A long short-term memory (LSTM) method is added to the DRL framework to predict the passenger demand in the future, which enables the current decision to adapt to disturbances. The numerical results indicate that the hybrid control strategy can reduce the average headway of the bus fleet and improve the reliability of bus service.

Supporting the monitoring services reliability in transportation systems – antropo-technical approach

Laskowski D., Łubkowski P.

Archives of Transport System Telematics

2015

Vol. 8, iss. 4

23--28

Process of ensuring the security of citizens, objects and material goods requires access to the information from sensors located in diff erent points of monitoring and data acquisition systems. Th ey are a widely used in administration of carfleet or the visualization of selected functions of transport processes. However, transmission of data from multiple video sensors may lead to the degradation of video quality and even to lack of identification capabilities. As a result, the overall service reliability can be decreased. The process of the system exploitation can determine the reliability of the video monitoring services as well. This process includes the technical object (hardware and soft ware) and the man (operator) who exploits the system under certain environmental conditions (external and internal) and represents so called antropo-technical approach in which the operating requirements are taken into consideration (particularly related to reliability). The paper presents components elaborated for maintenance of reliable video monitoring services as well as the results of selected tests showing its efficiency. Proposition of comprehensive metrics for assessing the reliability of exploitation of video monitoring system, which takes into account antropo-technical approach is presented as well.