Abstract
High-resolution vehicle speed profiles obtained from sophisticated devices such as global positioning system (GPS) receivers provide an opportunity to accurately measure intersection delay, composed of deceleration delay, stopped delay, and acceleration delay. Although the delay components can be measured by manually examining the speed profiles or derived time-space diagrams, identifying when vehicles begin to decelerate or stop accelerating is not always a straightforward task. In addition, a manual identification process may be laborious and time consuming when handling a large network or numerous runs. More importantly, the results from a manual process may not be consistent between analysts or even for a single analyst over time. This paper proposes a new approach to identifying control delay components based on second-by-second vehicle speed profiles obtained from GPS devices. The proposed approach utilizes both denoised speed and acceleration profiles for capturing critical points associated with each delay component. Speed profiles are used for the identification of stopped time periods, and acceleration profiles are used for detecting deceleration onset points and acceleration ending points. The writers applied this methodology to sampled runs collected from GPS-equipped instrumented vehicles and concluded that it satisfactorily computed delay components under normal traffic conditions and for the intersections not affected by adjacent intersections.
| Original language | English |
|---|---|
| Pages (from-to) | 338-346 |
| Number of pages | 9 |
| Journal | Journal of Transportation Engineering |
| Volume | 134 |
| Issue number | 8 |
| DOIs | |
| State | Published - 2008 Aug 1 |
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Keywords
- Global positioning
- Intersections
- Measurement
- Traffic delay
- Traffic signals
Cite this
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Measuring control delay components using second-by-second GPS speed data. / Ko, Joonho; Hunter, Michael; Guensler, Randall.
In: Journal of Transportation Engineering, Vol. 134, No. 8, 01.08.2008, p. 338-346.Research output: Contribution to journal › Article
TY - JOUR
T1 - Measuring control delay components using second-by-second GPS speed data
AU - Ko, Joonho
AU - Hunter, Michael
AU - Guensler, Randall
PY - 2008/8/1
Y1 - 2008/8/1
N2 - High-resolution vehicle speed profiles obtained from sophisticated devices such as global positioning system (GPS) receivers provide an opportunity to accurately measure intersection delay, composed of deceleration delay, stopped delay, and acceleration delay. Although the delay components can be measured by manually examining the speed profiles or derived time-space diagrams, identifying when vehicles begin to decelerate or stop accelerating is not always a straightforward task. In addition, a manual identification process may be laborious and time consuming when handling a large network or numerous runs. More importantly, the results from a manual process may not be consistent between analysts or even for a single analyst over time. This paper proposes a new approach to identifying control delay components based on second-by-second vehicle speed profiles obtained from GPS devices. The proposed approach utilizes both denoised speed and acceleration profiles for capturing critical points associated with each delay component. Speed profiles are used for the identification of stopped time periods, and acceleration profiles are used for detecting deceleration onset points and acceleration ending points. The writers applied this methodology to sampled runs collected from GPS-equipped instrumented vehicles and concluded that it satisfactorily computed delay components under normal traffic conditions and for the intersections not affected by adjacent intersections.
AB - High-resolution vehicle speed profiles obtained from sophisticated devices such as global positioning system (GPS) receivers provide an opportunity to accurately measure intersection delay, composed of deceleration delay, stopped delay, and acceleration delay. Although the delay components can be measured by manually examining the speed profiles or derived time-space diagrams, identifying when vehicles begin to decelerate or stop accelerating is not always a straightforward task. In addition, a manual identification process may be laborious and time consuming when handling a large network or numerous runs. More importantly, the results from a manual process may not be consistent between analysts or even for a single analyst over time. This paper proposes a new approach to identifying control delay components based on second-by-second vehicle speed profiles obtained from GPS devices. The proposed approach utilizes both denoised speed and acceleration profiles for capturing critical points associated with each delay component. Speed profiles are used for the identification of stopped time periods, and acceleration profiles are used for detecting deceleration onset points and acceleration ending points. The writers applied this methodology to sampled runs collected from GPS-equipped instrumented vehicles and concluded that it satisfactorily computed delay components under normal traffic conditions and for the intersections not affected by adjacent intersections.
KW - Global positioning
KW - Intersections
KW - Measurement
KW - Traffic delay
KW - Traffic signals
UR - http://www.scopus.com/inward/record.url?scp=48449093292&partnerID=8YFLogxK
U2 - 10.1061/(ASCE)0733-947X(2008)134:8(338)
DO - 10.1061/(ASCE)0733-947X(2008)134:8(338)
M3 - Article
AN - SCOPUS:48449093292
VL - 134
SP - 338
EP - 346
JO - Journal of Transportation Engineering
JF - Journal of Transportation Engineering
SN - 0733-947X
IS - 8
ER -