Origin-Destination Demand Estimation Models

Hing Keung William Lam; Hu Shao; Shuhan Cao; Hai Yang

doi:10.1016/B978-0-08-102671-7.10376-8

Origin-Destination Demand Estimation Models

Hing Keung William Lam, Hu Shao, Shuhan Cao, Hai Yang

Research output: Chapter in book / Conference proceeding › Chapter in an edited book (as author) › Academic research › peer-review

1 Citation (Scopus)

Abstract

Origin-Destination (OD) traffic demand is regarded as the fundamental input for transportation planning and traffic management. In view of the advancement of Big Data technologies, OD demand estimation has attracted an increasing attention in the field of transportation. Various OD demand estimation models have been developed to estimate OD demand using different sources of data. This chapter addresses a series of OD demand estimation models with consideration of different modeling concerns.

Original language	English
Title of host publication	Encyclopedia of Transportation
Publisher	Elsevier Ltd.
Pages	515-518
Volume	4
DOIs	https://doi.org/10.1016/B978-0-08-102671-7.10376-8
Publication status	Published - May 2021

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10.1016/B978-0-08-102671-7.10376-8

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title = "Origin-Destination Demand Estimation Models",

abstract = "Origin-Destination (OD) traffic demand is regarded as the fundamental input for transportation planning and traffic management. In view of the advancement of Big Data technologies, OD demand estimation has attracted an increasing attention in the field of transportation. Various OD demand estimation models have been developed to estimate OD demand using different sources of data. This chapter addresses a series of OD demand estimation models with consideration of different modeling concerns.",

author = "Lam, {Hing Keung William} and Hu Shao and Shuhan Cao and Hai Yang",

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BT - Encyclopedia of Transportation

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ER -

Origin-Destination Demand Estimation Models

Abstract

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