Parallel systems for Urban Rail Transportation based on ACP approach

Jiaotong Yunshu Xitong Gongcheng Yu Xinxi/Journal of Transportation Systems Engineering and Information Technology

Volumn 10, Issue 6, 2010, Pages 22-28

  Ning, Bin ^a   Wang, Fei Yue ^b   Dong, Hai Rong ^a   Li, Run Mei ^a   Wen, Ding ^c   Li, Li ^a  

^a BEIJING JIAOTONG UNIVERSITY   (China)

^b INSTITUTE OF AUTOMATION   (China)

^c NATIONAL UNIVERSITY OF DEFENSE TECHNOLOGY   (China)

Author keywords

ACP approach; Artificial systems; Intelligent transportation systems; Parallel systems; Urban subway systems; Urban traffic

Indexed keywords

EID: 78751691321     PISSN: 10096744     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (17)

1. George D Haddow, Jane A Bullock, Emergency Management [M]. TX: Elsevier, 2003.
2. Yoichi Sugiyama, Hiroshi Matsubara, Shuichi Myojo, et al. An approach for real-time estimation of railway passenger flow [J]. QR of RTRI, 2010, 51(2): 82-88.
3. M Bazant, A Kavivka. Artificial neural network as a support of platform track assignment within simulation models reflecting passenger railway stations [C]. In Proc. Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, 2009: 505-515.
4. Prabhat Shrivastava S L, Dhingra. Development of coordinated schedules using genetic algorithms [C]. In Proc. Journal of Transportation Engineering, 2002: 89-96.
5. Matsumoto M, Kitamura S, Sato M. High assurance technologies for autonomous decentralized train control system [J]. IEEE Int. Symposium on High Assurance Syst. Engineering, 2001: 220-229.
6. Hoogendoorn S P, Hauser M, Rodrigues N. Applying microscopic pedestrian flow simulation to railway station design evaluation in Lisbon [J]. Transportation Research Record: Journal of the Transportation Research Board, 2004, 18(78): 83-94.
7. Hairong Dong, Bin Ning, Baigen Cai, et al. Automatic train control system development and simulation for high-speed railways [J]. IEEE Circuits and Systems, 2010, 10(2): 6-18.
8. Ho T K, Mao B H, Yuan Z Z. Computer simulation and modeling in railway applications [J]. Computer Physics Communications, 2002, 14(3): 1-10.
9. Goodall R M, Kortum W. Mechatronic developments for railway vehicles of the future [J]. Control Engineering Practice, 2002: 887-898.
10. Carballeira J, Baeza L, Rovira A, et al. Technical characteristics and dynamics modelling of talgo trains [J]. Vehicle System Dynamics, 2008, 46: 301-316.
11. Kisko T, Francis R, Nobel C. EVACNET4 User's Guide [M]. University of Florida, 1998.
12. Step-by-step introduction to the Railsim TPC using the sample data [EB/OL]. http: //www.railsim.com, 2010.
13. Quartieri J, Troisi A, Guarnaccia C, et al. An Italian high speed train noise analysis in an open country environment [C]. in Proc. AMTA '09 Proceedings of the 10th WSEAS international conference on Acoustics & Music; Theory & Applications, 2009: 92-99.
14. Wang F Y. Parallel system methods for management and control of complex systems [J]. Control and Decision, 2004, 19(5): 485-489.
15. Wang F Y. Computational experiments for behavior analysis and decision evaluation of complex systems [J]. Journal of system simulation, 2004, 16(5): 893-897.
16. Wang F Y. Parallel control and management for intelligent transportation system: Concepts, architectures, and applications [J]. IEEE Transactions on Intelligent Transportation Systems, 2010, 11(3): 1-10.
17. Ladislan Boloni, Dan Marinescn. A Component Agent Model from Theory to Implementation [M]. Purdue University, 1999.