dc.contributor.author |
Dimitriou, L |
en |
dc.contributor.author |
Tsekeris, T |
en |
dc.contributor.author |
Stathopoulos, A |
en |
dc.date.accessioned |
2014-03-01T02:50:23Z |
|
dc.date.available |
2014-03-01T02:50:23Z |
|
dc.date.issued |
2006 |
en |
dc.identifier.issn |
14746670 |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/35104 |
|
dc.relation.uri |
http://www.scopus.com/inward/record.url?eid=2-s2.0-34548100863&partnerID=40&md5=eda67adf904cc3e49929bca9aa920dc5 |
en |
dc.subject |
Genetic algorithms |
en |
dc.subject |
Simulation |
en |
dc.subject |
Traffic control |
en |
dc.subject |
Urban networks |
en |
dc.subject.other |
Arterial networks |
en |
dc.subject.other |
Automatic estimation |
en |
dc.subject.other |
Computing speed |
en |
dc.subject.other |
Link count |
en |
dc.subject.other |
Microscopic models |
en |
dc.subject.other |
Microsimulation |
en |
dc.subject.other |
Network traffic |
en |
dc.subject.other |
Reasonable accuracy |
en |
dc.subject.other |
Signalized intersection |
en |
dc.subject.other |
Simulation |
en |
dc.subject.other |
Urban intersections |
en |
dc.subject.other |
Urban networks |
en |
dc.subject.other |
Urban traffic control system |
en |
dc.subject.other |
Genetic algorithms |
en |
dc.subject.other |
Real time systems |
en |
dc.subject.other |
Street traffic control |
en |
dc.subject.other |
Traffic signs |
en |
dc.subject.other |
Computer simulation |
en |
dc.title |
Genetic-algorithm-based micro-simulation approach for estimating turning proportions at signalized intersections |
en |
heal.type |
conferenceItem |
en |
heal.publicationDate |
2006 |
en |
heal.abstract |
This paper presents a method for the automatic estimation of turning proportions at signalized urban intersections using partial link count information. The method integrates a microscopic model to simulate the network traffic conditions with a genetic algorithm to minimize the difference between estimated and observed movement flows. The implementation into a real signalized arterial network showed that the method can reproduce observed flows with a reasonable accuracy and computing speed that allows its usage in real-time urban traffic control systems. Copyright © 2006 IFAC. |
en |
heal.journalName |
IFAC Proceedings Volumes (IFAC-PapersOnline) |
en |
dc.identifier.volume |
11 |
en |
dc.identifier.issue |
PART 1 |
en |
dc.identifier.spage |
159 |
en |
dc.identifier.epage |
164 |
en |