Microscopic-Macroscopic Models Systems Integration: A Simulation Case Study for ATMIS

Simulation

Volumn 81, Issue 5, 2005, Pages 353-363

  Sahraoui, Abd el Kader ^a   Jayakrishnan, R ^b  

^a UNIVERSITÉ DE TOULOUSE   (France)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Calibration; micro simulation; traffic assignment

Indexed keywords

CALIBRATION; DATA COMMUNICATION SYSTEMS; DECISION SUPPORT SYSTEMS; MATHEMATICAL MODELS; SENSITIVITY ANALYSIS; STATISTICAL METHODS; TELECOMMUNICATION TRAFFIC;

ADVANCED TRAFFIC MANAGEMENT AND INFORMATION SYSTEMS (ATMIS); MICRO-SIMULATION; TRAFFIC ASSIGNMENT;

COMPUTER SIMULATION;

EID: 21544464602     PISSN: 00375497     EISSN: None     Source Type: Journal    
DOI: 10.1177/0037549705052771     Document Type: Article

References (20)

1. Algers, S., E. Bernauer, M. Boero, L. Breheret, C. di Taranto, M. Dougherty, K. Fox, and J. Gabard. 1998. Smartest Project deliverable D3. Leeds, UK: European Community Project Deliverables.
2. APAS. 1995. APAS roads 2: Assessment of road transport models and system architectures. European Commission Directorate General for Transport.
3. Quadstone, Ltd. 1999. Paramics traffic simulation modeller V3.0: Reference manual. Edinburgh, Quadstone.
4. Leonard, D., J. Tough, and P. Baguley. 1978. CONTRAM: A traffic assignment model for predicting flows and queues during peak periods. TRRL Lab Report 841.
5. Drew, D. R. 1998. Traffic flow theory and control. New York: McGraw-Hill.
6. Kates, R., and K. Bogenberger. 1997. Calibration of the mesoscopic highway simulator Animal: Performance under heavy traffic conditions. In Fourth ITS World Congress, Berlin.
7. Song, B., and D. Delorme. 2000. Human driver models for SmartAHS based on cognitive and control approaches. In ITSA-2000, May, Boston.
8. Underwood, S. E., and S. G. Gehring. 1994. Framework for evaluating intelligent vehicle highway systems. In 74th Transportation Research Board Annual Meeting, Washington, DC.
9. Yang, Q., and H. Koutsopoulos. 1996. A microscopic traffic simulation for evaluation of dynamic traffic management systems. Transportation Research 4C: 113-129.
10. Jayakrishnan, R., H. Mahmassani, and T.-Y. Hu. 1994. An evaluation tool for advanced traffic information and management systems in urban networks. Transportation Research 2C: 129-147.
11. Mahmassani, H., T.-Y. Hu, S. Peeta, and A. Ziliaskopoulos. 1994. Development and testing of dynamic traffic assignment and simulation procedures for ATIS/ATMS applications. Report DTFH61-90-R-00074-FG, U.S. Department of Transportation, Federal Highway Administration, McLean, VA.
12. Peeta, S., and H. Mahmassani. 1995. Multiple user classes real-time traffic assignment for online operations: Rolling horizon solution framework. Transportation research 3C: 83-98.
13. Abdulhai, B., J. B. Sheu, and W. Recker. 1999. Simulation of ITS on the Irvine FOT area using Paramics, model calibration and validation. California PATH report, UC-PRR 99-12.
14. Burmeister, B., J. Doormann, and G. Matylis. 1997. Agent-oriented traffic simulation. Transactions of the Society for Computer Simulation 14 (2): 79-88.
15. Sahraoui, A. E. K. 1989. Modeling and simulation, issues and perspectives in education. In International Congress in Mathematics and Applications, July, IMACS, Cetrato.
16. McDonald, M., M. Brastone, and D. Jeffrey. 1994. Data requirements and sources for the calibration of microscopic motorway simulation models. In Fifth IEEE Vehicle Navigation and Information Systems Conference, Yokohama.
17. Rao, L., L. Owen, and D. Goldsman. 1998. Validation framework of simulation models. In Proceedings of the 1998 Winter Simulation Conference.
18. Demmou, H., L. Hermitte, P. Olivero, and A. E. K. Sahraoui. 1998. AEK: A neural network methodology for traffic congestion prediction. La Lettre de l’IA Journal 134-136: 272-274.
19. Ben-Akiva, M., M. Bierlaire, H. Koutsopoulos, and R. Mishalani. 1998. DynaMIT: A simulation-based system for traffic prediction and guidance generation. In TRISTAN III, San Juan, Puerto Rico.
20. Sahraoui, A. E. K. 2000. Simulations capabilities: Methodology and perspectives with Paramics. UCB/ITS report.