| dc.creator | Travis Waller, S. | en |
| dc.creator | Ziliaskopoulos, A. K. | en |
| dc.date.accessioned | 2015-11-23T10:50:12Z | |
| dc.date.available | 2015-11-23T10:50:12Z | |
| dc.date.issued | 2006 | |
| dc.identifier | 10.1016/j.trc.2006.11.002 | |
| dc.identifier.issn | 0968090X | |
| dc.identifier.uri | http://hdl.handle.net/11615/33695 | |
| dc.description.abstract | This paper is concerned with the system optimum-dynamic traffic assignment (SO-DTA) problem when the time-dependent demands are random variables with known probability distributions. The model is a stochastic extension of a deterministic linear programming formulation for SO-DTA introduced by Ziliaskopoulos (Ziliaskopoulos, A.K., 2000. A linear programming model for the single destination system optimum dynamic traffic assignment problem, Transportation Science, 34, 1-12). The proposed formulation is chance-constrained based and we demonstrate that it provides a robust SO solution with a user specified level of reliability. The model provides numerous insights and can be a useful tool in producing robust control and management strategies that account for uncertainty in applications where SO-DTA is relevant (e.g. evacuation modeling, computing alternate routes around freeway incidents and establishing lower bounds on network performance). © 2006 Elsevier Ltd. All rights reserved. | en |
| dc.source.uri | http://www.scopus.com/inward/record.url?eid=2-s2.0-33845902250&partnerID=40&md5=9a0c7bdc4ea8a85a5eb73278410341b3 | |
| dc.subject | Algorithms | en |
| dc.subject | Linear programming | en |
| dc.subject | Management | en |
| dc.subject | Mathematical models | en |
| dc.subject | Probability distributions | en |
| dc.subject | Random processes | en |
| dc.subject | Dynamic traffic assignment | en |
| dc.subject | Time-dependent demands | en |
| dc.subject | Highway traffic control | en |
| dc.subject | algorithm | en |
| dc.subject | linear programing | en |
| dc.subject | numerical model | en |
| dc.subject | probability | en |
| dc.subject | stochasticity | en |
| dc.subject | traffic management | en |
| dc.title | A chance-constrained based stochastic dynamic traffic assignment model: Analysis, formulation and solution algorithms | en |
| dc.type | journalArticle | en |
