Travel time analysis of selected urban streets in Baghdad city

Joint Authors

al-Qaysi, Zaynab A.
Ahmad, Raniya M.
Husayn, Ruba Yusuf

Source

Journal of Engineering and Sustainable Development

Issue

Vol. 25, Issue (s) (31 Dec. 2021), pp.157-164, 8 p.

Publisher

al-Mustansyriah University College of Engineering

Publication Date

2021-12-31

Country of Publication

Iraq

No. of Pages

8

Main Subjects

Civil Engineering

Topics

Abstract EN

Estimating travel time and measuring speed are critical for increasing the efficiency and safety of traffic road networks.

This study presents an investigation of arterial travel time estimation for vital routes in Baghdad city.

These estimations including speeds, stops, and delays were computed via GPS device and compared to those currently used to quantify congestion and travel time reliability.

The study involved a 45-day survey of private vehicles in Baghdad utilizing a Global Positioning System (GPS) probe to collect data on traffic performance metrics for analysis in a GIS context.

It was found that the proposed travel time performance measures show definite differences in estimates of peak-hour travel time as compared with weekend travel time.

Route (1) from Bayaa intersection - Bab Al-Mutham intersection (through highway) produced a travel time of 165 minutes and 136 minutes for Bayaa intersection - Bab Al-Mutham intersection (through downtown).

The travel speed of routes 1 and 2 are observed near 25 kmph which is below the local speed limit of 70 kmph.

The maximum travel time of routes 1 and 2 are 71 minutes and 37 minutes, respectively.

While delay time was observed 45 and 20 minutes due to traffic congestion on route 1 and 2, respectively.

The majority of vehicles are capable of traveling at normal speeds, with relatively few exceeding them.

Estimating travel time and measuring speed are critical for increasing the efficiency and safety of traffic road networks.

This study presents an investigation of arterial travel time estimation for vital routes in Baghdad city.

These estimations including speeds, stops, and delays were computed via GPS device and compared to those currently used to quantify congestion and travel time reliability.

The study involved a 45-day survey of private vehicles in Baghdad utilizing a Global Positioning System (GPS) probe to collect data on traffic performance metrics for analysis in a GIS context.

It was found that the proposed travel time performance measures show definite differences in estimates of peak-hour travel time as compared with weekend travel time.

Route (1) from Bayaa intersection - Bab Al-Mutham intersection (through highway) produced a travel time of 165 minutes and 136 minutes for Bayaa intersection - Bab Al-Mutham intersection (through downtown).

The travel speed of routes 1 and 2 are observed near 25 kmph which is below the local speed limit of 70 kmph.

The maximum travel time of routes 1 and 2 are 71 minutes and 37 minutes, respectively.

While delay time was observed 45 and 20 minutes due to traffic congestion on route 1 and 2, respectively.

The majority of vehicles are capable of traveling at normal speeds, with relatively few exceeding them.

American Psychological Association (APA)

al-Qaysi, Zaynab A.& Ahmad, Raniya M.& Husayn, Ruba Yusuf. 2021. Travel time analysis of selected urban streets in Baghdad city. Journal of Engineering and Sustainable Development،Vol. 25, no. (s), pp.157-164.
https://search.emarefa.net/detail/BIM-1273137

Modern Language Association (MLA)

al-Qaysi, Zaynab A.…[et al.]. Travel time analysis of selected urban streets in Baghdad city. Journal of Engineering and Sustainable Development Vol. 25, Special issue (2021), pp.157-164.
https://search.emarefa.net/detail/BIM-1273137

American Medical Association (AMA)

al-Qaysi, Zaynab A.& Ahmad, Raniya M.& Husayn, Ruba Yusuf. Travel time analysis of selected urban streets in Baghdad city. Journal of Engineering and Sustainable Development. 2021. Vol. 25, no. (s), pp.157-164.
https://search.emarefa.net/detail/BIM-1273137

Data Type

Journal Articles

Language

English

Notes

-

Record ID

BIM-1273137