| Autor: |
Magfirona, Alfia, Hidayati, Nurul, Wibowo, Ari, Sunarjono, Sri, Yulianto, Budi |
| Předmět: |
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| Zdroj: |
AIP Conference Proceedings; 2024, Vol. 2838 Issue 1, p1-7, 7p |
| Abstrakt: |
One-way traffic networks maybe force drivers to bypass blockages to reach their destinations, potentially increasing trip distances. However, it is beneficial for anticipating some traffic problems in most urban traffic conditions—only a few studies concerned the regression approach for predicting road network performance models. As a result, this research aims to use the regression method to forecast the performance model of the road network before and after one-way traffic system implementation. The derived model equations are compared to see which ones substantially impact the road network's performance. This study relies on secondary data from performance assessments of 26 roads before and after the system during morning peak hours of 06:30–07:30 AM. The independent variables (X) are data from segment analysis used, i.e., Volume (X1), Speed (X2), and Volume (X4), whereas the dependent variable (Y) is Level of Service. By attempting the model prediction multivariate linear regression modeling before the system, Y = 5.647 – 4.376X1+0.009X2+0.0003X4 tend better than others. It provided a more significant impact on LOS than other models provided by R-value 0.951 is higher than the other models. The R-square value is 0.904, which means that 90.4% of LOS is influenced by DS, V, and Q factors. Further research is needed to conduct in the form of additional other factors that can affect LOS. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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