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Freeway travel speed calculation model based on ETC transaction data.

Weng J, Yuan R, Wang R, Wang C - Comput Intell Neurosci (2014)

Bottom Line: The reduction coefficient α and reliable weight θ for sample vehicle speed were introduced in the model.The experiments results demonstrated that the average relative error was about 6.5% which means that the freeway travel speed could be estimated by the proposed model accurately.The proposed model is helpful to promote the level of the freeway operation monitoring and the freeway management, as well as to provide useful information for the freeway travelers.

View Article: PubMed Central - PubMed

Affiliation: Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing 100124, China.

ABSTRACT
Real-time traffic flow operation condition of freeway gradually becomes the critical information for the freeway users and managers. In fact, electronic toll collection (ETC) transaction data effectively records operational information of vehicles on freeway, which provides a new method to estimate the travel speed of freeway. First, the paper analyzed the structure of ETC transaction data and presented the data preprocess procedure. Then, a dual-level travel speed calculation model was established under different levels of sample sizes. In order to ensure a sufficient sample size, ETC data of different enter-leave toll plazas pairs which contain more than one road segment were used to calculate the travel speed of every road segment. The reduction coefficient α and reliable weight θ for sample vehicle speed were introduced in the model. Finally, the model was verified by the special designed field experiments which were conducted on several freeways in Beijing at different time periods. The experiments results demonstrated that the average relative error was about 6.5% which means that the freeway travel speed could be estimated by the proposed model accurately. The proposed model is helpful to promote the level of the freeway operation monitoring and the freeway management, as well as to provide useful information for the freeway travelers.

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The sample sizes distribution in different time interval.
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fig1: The sample sizes distribution in different time interval.

Mentions: The time interval division of ETC transaction data should depend on the degree of variability of freeway traffic conditions, as well as sample size in a single analysis time period. According to the stability of the traffic flow, the study intended to select 10–15 minutes initially as the analysis period. In order to determine its rationality, the paper selected a whole working day randomly which contains all OD data in the whole network. 15 min and 10 min were considered to be the time interval, respectively, in this paper. And the paper counted the number of sample sizes for the same OD, as illustrated in Figure 1.


Freeway travel speed calculation model based on ETC transaction data.

Weng J, Yuan R, Wang R, Wang C - Comput Intell Neurosci (2014)

The sample sizes distribution in different time interval.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4279848&req=5

fig1: The sample sizes distribution in different time interval.
Mentions: The time interval division of ETC transaction data should depend on the degree of variability of freeway traffic conditions, as well as sample size in a single analysis time period. According to the stability of the traffic flow, the study intended to select 10–15 minutes initially as the analysis period. In order to determine its rationality, the paper selected a whole working day randomly which contains all OD data in the whole network. 15 min and 10 min were considered to be the time interval, respectively, in this paper. And the paper counted the number of sample sizes for the same OD, as illustrated in Figure 1.

Bottom Line: The reduction coefficient α and reliable weight θ for sample vehicle speed were introduced in the model.The experiments results demonstrated that the average relative error was about 6.5% which means that the freeway travel speed could be estimated by the proposed model accurately.The proposed model is helpful to promote the level of the freeway operation monitoring and the freeway management, as well as to provide useful information for the freeway travelers.

View Article: PubMed Central - PubMed

Affiliation: Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing 100124, China.

ABSTRACT
Real-time traffic flow operation condition of freeway gradually becomes the critical information for the freeway users and managers. In fact, electronic toll collection (ETC) transaction data effectively records operational information of vehicles on freeway, which provides a new method to estimate the travel speed of freeway. First, the paper analyzed the structure of ETC transaction data and presented the data preprocess procedure. Then, a dual-level travel speed calculation model was established under different levels of sample sizes. In order to ensure a sufficient sample size, ETC data of different enter-leave toll plazas pairs which contain more than one road segment were used to calculate the travel speed of every road segment. The reduction coefficient α and reliable weight θ for sample vehicle speed were introduced in the model. Finally, the model was verified by the special designed field experiments which were conducted on several freeways in Beijing at different time periods. The experiments results demonstrated that the average relative error was about 6.5% which means that the freeway travel speed could be estimated by the proposed model accurately. The proposed model is helpful to promote the level of the freeway operation monitoring and the freeway management, as well as to provide useful information for the freeway travelers.

Show MeSH
Related in: MedlinePlus