Short-term travel time forecasting in Hong Kong

K. S. Chan; Hing Keung William Lam; G. Xu

Short-term travel time forecasting in Hong Kong

K. S. Chan, Hing Keung William Lam, G. Xu

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

Abstract

This paper presents a traffic flow simulator (TFS) for short-term travel time forecasting. The forecasted travel time information is useful for the pre-trip planning of the drivers. The drivers can decide their departure time and mode choice based on the forecasted travel time. A case study has been carried out in the Hong Kong Island during the AM peak period. The stochastic deviation coefficient is introduced in the case study to simulate the variation of traffic flows within the peak hour period. The purposes of the case study are: 1) to show the applicability of the TFS for real road network; and 2) to illustrate the short-term forecasting of link travel times. The results of the case study show that the TFS can be applied for real network effectively. The TFS forecasted travel times and the observed travel times are compared. The findings show that the observed travel times fall in the 90% confidence interval of the TFS forecasted travel times.

Original language	English
Title of host publication	Proceedings of the International Conference on Applications of Advanced Technologies in Transportation Engineering
Pages	13-17
Number of pages	5
Publication status	Published - 1 Dec 2004
Event	Proceedings of the Eighth International Conference on Applications of Advanced Technologies in Transportaion Engineering - Beijing, China Duration: 26 May 2004 → 28 May 2004

Conference

Conference	Proceedings of the Eighth International Conference on Applications of Advanced Technologies in Transportaion Engineering
Country/Territory	China
City	Beijing
Period	26/05/04 → 28/05/04

Keywords

Short-term travel time forecasting and traffic flow simulator

ASJC Scopus subject areas

General Engineering

Cite this

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title = "Short-term travel time forecasting in Hong Kong",

abstract = "This paper presents a traffic flow simulator (TFS) for short-term travel time forecasting. The forecasted travel time information is useful for the pre-trip planning of the drivers. The drivers can decide their departure time and mode choice based on the forecasted travel time. A case study has been carried out in the Hong Kong Island during the AM peak period. The stochastic deviation coefficient is introduced in the case study to simulate the variation of traffic flows within the peak hour period. The purposes of the case study are: 1) to show the applicability of the TFS for real road network; and 2) to illustrate the short-term forecasting of link travel times. The results of the case study show that the TFS can be applied for real network effectively. The TFS forecasted travel times and the observed travel times are compared. The findings show that the observed travel times fall in the 90% confidence interval of the TFS forecasted travel times.",

keywords = "Short-term travel time forecasting and traffic flow simulator",

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Short-term travel time forecasting in Hong Kong. / Chan, K. S.; Lam, Hing Keung William; Xu, G.
Proceedings of the International Conference on Applications of Advanced Technologies in Transportation Engineering. 2004. p. 13-17.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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ER -

Short-term travel time forecasting in Hong Kong

Abstract

Conference

Keywords

ASJC Scopus subject areas

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