In the actual two-way single-track rail transit system, the occupancy conflicts of the same station or the same track section will inevitably occur between the planned trains. Considering the influence of train velocity, the balanced train operation problem aims to find the optimal velocity of each train on the railway to minimize the delay ratio (that is, the ratio of the total delay time to the total free running time). However, with the expansion of the transportation network, there are hidden dangers in the security of centralized algorithms. In order to improve computing efficiency and security, distributed optimization methods are considered. In addition, due to the uncertainty of the train environment, there are usually uncertainties in the relationship between its velocity and delay time. Thus, a multiagent balanced train operation method is proposed, in which all agents make joint decisions by coordinating with the environment and local neighbors. Due to the introduction of distributed algorithms, network security also needs to be considered. The algorithm has designed a defense mechanism against Dos attacks. Due to the uncertainty of the cost functions, lenient method is adopted to estimate the rewards with neural networks. Through the case studies, the superiority of the algorithm is verified.
Multi-agent Lenient Reinforcement Learning Based Algorithm for Balanced Train Operation of Single-Track Railway Considering DoS Attacks
Lect. Notes Electrical Eng.
International Conference on Intelligent Transportation Engineering ; 2021 ; Beijing, China October 29, 2021 - October 31, 2021
2021 6th International Conference on Intelligent Transportation Engineering (ICITE 2021) ; Chapter : 31 ; 351-361
2022-06-01
11 pages
Article/Chapter (Book)
Electronic Resource
English
Reinforcement learning approach for train rescheduling on a single-track railway
Online Contents | 2016
|Railway track construction and train operation
Engineering Index Backfile | 1943
|Railway track structure for high-speed train operation
Engineering Index Backfile | 1964
|