TY - JOUR
T1 - Quantitative analysis of smooth progression in traffic signal systems
AU - Beak, Byungho
AU - Head, K. Larry
AU - Khosravi, Sara
N1 - Publisher Copyright:
© 2017 American Society of Civil Engineers.
PY - 2018/3/1
Y1 - 2018/3/1
N2 - Traffic signal coordination has been widely used to provide smooth progression for platoons on signalized arterials to enhance performance measures such as travel times, number of stops, and delay. Considering smooth progression as the significant factor of coordination, many studies have been conducted to measure the quality of progression. However, none of these studies concentrated on measuring a continuous smooth driving pattern of each vehicle in terms of speed. In order to quantify the smoothness, this paper conducted an analysis of the speed variation of vehicles traveling along a corridor. A new measure, called the smoothness of the flow of traffic (SOFT), was introduced and evaluated for different kinds of traffic control systems. The measure can be used to evaluate how smoothly vehicles flow along a corridor based on the frequency content of vehicle speed. To better understand the impact of vehicle mode, a multimodal analysis was conducted using the SOFT measure. This study was conducted using a simulation model and a system where vehicle trajectory data are available for computing SOFT.
AB - Traffic signal coordination has been widely used to provide smooth progression for platoons on signalized arterials to enhance performance measures such as travel times, number of stops, and delay. Considering smooth progression as the significant factor of coordination, many studies have been conducted to measure the quality of progression. However, none of these studies concentrated on measuring a continuous smooth driving pattern of each vehicle in terms of speed. In order to quantify the smoothness, this paper conducted an analysis of the speed variation of vehicles traveling along a corridor. A new measure, called the smoothness of the flow of traffic (SOFT), was introduced and evaluated for different kinds of traffic control systems. The measure can be used to evaluate how smoothly vehicles flow along a corridor based on the frequency content of vehicle speed. To better understand the impact of vehicle mode, a multimodal analysis was conducted using the SOFT measure. This study was conducted using a simulation model and a system where vehicle trajectory data are available for computing SOFT.
KW - Connected vehicle
KW - Fourier transform
KW - Multimodal assessment
KW - Smooth progression measurement
KW - Traffic signal coordination
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U2 - 10.1061/JTEPBS.0000123
DO - 10.1061/JTEPBS.0000123
M3 - Article
AN - SCOPUS:85044975595
SN - 2473-2907
VL - 144
JO - Journal of Transportation Engineering Part A: Systems
JF - Journal of Transportation Engineering Part A: Systems
IS - 3
M1 - 04017082
ER -