Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

< Back to Article

Fig 1.

Road network of Korea highway.

(Drawn by authors using QGIS program, data source: Ministry of Land, Infrastructure and Transport (MOLIT), the data are free source for everyone, the authors did not have any special privileges that others would have in obtaining the data).

More »

Fig 1 Expand

Fig 2.

Degree distribution of road network in Korea highway.

(Drawn by authors using R program, data source: Korea Expressway Corporation, the data are free source for everyone, the authors did not have any special privileges that others would have in obtaining the data).

More »

Fig 2 Expand

Fig 3.

Average daily traffic pattern of Korea highway.

(Drawn by authors using QGIS program, data source: MOLIT and Korea Expressway Corporation, the data are free source for everyone, the authors did not have any special privileges that others would have in obtaining the data).

More »

Fig 3 Expand

Fig 4.

Example of Origin-Destination network.

(Drawn by authors using R program, data source: Korea Expressway Corporation, the data are free source for everyone, the authors did not have any special privileges that others would have in obtaining the data).

More »

Fig 4 Expand

Fig 5.

Degree distribution of Origin-Destination network.

(Drawn by authors using R program, data source: Korea Expressway Corporation, the data are free source for everyone, the authors did not have any special privileges that others would have in obtaining the data).

More »

Fig 5 Expand

Fig 6.

Example cases of the demand distribution of VN during weekday and weekend.

(Drawn by authors using R program, data source: Korea Expressway Corporation, the data are free source for everyone, the authors did not have any special privileges that others would have in obtaining the data).

More »

Fig 6 Expand

Fig 7.

The distributions of regression coefficients of VNs for each weekday and weekend.

(Drawn by authors using R program, data source: Korea Expressway Corporation, the data are free source for everyone, the authors did not have any special privileges that others would have in obtaining the data).

More »

Fig 7 Expand

Fig 8.

The weekday density trend according to the time evolution with different regression coefficient values.

(Drawn by authors using R program, data source: Korea Expressway Corporation, the data are free source for everyone, the authors did not have any special privileges that others would have in obtaining the data).

More »

Fig 8 Expand

Fig 9.

The weekend density trend according to the time evolution with different regression coefficient values.

(Drawn by authors using R program, data source: Korea Expressway Corporation, the data are free source for everyone, the authors did not have any special privileges that others would have in obtaining the data).

More »

Fig 9 Expand

Fig 10.

The goodness-of-fit of each regression coefficient of VNs with respect to day type.

(Drawn by authors using R program, data source: Korea Expressway Corporation, the data are free source for everyone, the authors did not have any special privileges that others would have in obtaining the data).

More »

Fig 10 Expand

Fig 11.

Estimation method of coefficient difference between PN and VN.

(Drawn by authors using R program).

More »

Fig 11 Expand

Fig 12.

The effect on the road performance.

(Drawn by authors using R program, data source: Korea Expressway Corporation, the data are free source for everyone, the authors did not have any special privileges that others would have in obtaining the data).

More »

Fig 12 Expand

Fig 13.

The application of proposed relation.

(Drawn by authors using R program).

More »

Fig 13 Expand