Effectiveness of link and path information on simultaneous adjustment of dynamic O-D demand matrix

Abstract

Introduction The paper deals with the adjustment of time-dependent Origin–destination (O-D) demand matrix, which is the fundamental input of ITS application for traffic predictions. The usual problem is to search for temporal O-D matrices that are “near” an a priori estimate (seed matrices) and that best fit traffic counts. However information on link flows is not fully effective in describing the state of the network; recent technologies for tracking vehicles provide a new kind of information on route travel times that can integrate usual information on traffic flows at count sections.

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• http://link.springer.com/article/10.1007/s12544-013-0115-z/fulltext.html,

http://link.springer.com/content/pdf/10.1007/s12544-013-0115-z.pdf,

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• https://etrr.springeropen.com/track/pdf/10.1007/s12544-013-0115-z,

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https://core.ac.uk/display/81850551,

https://iris.uniroma3.it/handle/11590/267405,

https://paperity.org/p/35023002/effectiveness-of-link-and-path-information-on-simultaneous-adjustment-of-dynamic-o-d,

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https://academic.microsoft.com/#/detail/1970028710 under the license http://creativecommons.org/licenses/by/2.0