TY - GEN
T1 - Multi-agent systems for energy efficient train and train station interaction modelling
AU - Guo, Y.
AU - Wang, Q.
AU - Zhang, C.
N1 - Publisher Copyright:
© 2020 Taylor & Francis Group, London.
PY - 2020
Y1 - 2020
N2 - Energy-efficient train control and timetabling are typical research problems in the field of rail transit. The multi-objective optimization of rail transit network under interference is always a challenge due to the excessive demand for computing power, which makes it difficult to realize multi-train optimization when the system is disturbed during practical operation process. In the present paper, a multi-agent system (MAS) is proposed to establish an interactive mechanism to reduce the energy consumption in rail transit field. In this system, every train and station is considered as an agent with certain autonomy. Through cooperation and negotiation, each train can adjust local time schedule according to specific situations. In these processes, several factors (such as passenger flow and energy consumption) are comprehensively considered to generate optimized solutions. The result of the case study shows that the energy efficiency is improved when a station has a high passenger density and longer boarding time is needed.
AB - Energy-efficient train control and timetabling are typical research problems in the field of rail transit. The multi-objective optimization of rail transit network under interference is always a challenge due to the excessive demand for computing power, which makes it difficult to realize multi-train optimization when the system is disturbed during practical operation process. In the present paper, a multi-agent system (MAS) is proposed to establish an interactive mechanism to reduce the energy consumption in rail transit field. In this system, every train and station is considered as an agent with certain autonomy. Through cooperation and negotiation, each train can adjust local time schedule according to specific situations. In these processes, several factors (such as passenger flow and energy consumption) are comprehensively considered to generate optimized solutions. The result of the case study shows that the energy efficiency is improved when a station has a high passenger density and longer boarding time is needed.
UR - http://www.scopus.com/inward/record.url?scp=85108920110&partnerID=8YFLogxK
U2 - 10.1201/9781003000716-26
DO - 10.1201/9781003000716-26
M3 - Conference Proceeding
AN - SCOPUS:85108920110
SN - 9780367430191
T3 - Sustainable Buildings and Structures: Building a Sustainable Tomorrow - Proceedings of the 2nd International Conference in Sustainable Buildings and Structures, ICSBS 2019
SP - 199
EP - 204
BT - Sustainable Buildings and Structures
A2 - Papadikis, Konstantinos
A2 - Chin, Chee S.
A2 - Galobardes, Isaac
A2 - Gong, Guobin
A2 - Guo, Fangyu
PB - CRC Press/Balkema
T2 - 2nd International Conference in Sustainable Buildings and Structures, ICSBS 2019
Y2 - 25 October 2019 through 27 October 2019
ER -