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Impact of Rainfall on Traffic Mobility and Reliability Under Indian Traffic Conditions
https://orcid.org/http://orcid.org/0000-0002-1137-9656
Rainfall is one of the most critical elements of weather that affects traffic operations. Traffic mobility and travel time reliability (TTR) are significantly affected by rain. This study focuses on quantifying the impact of rainfall on traffic mobility and TTR. First, the study focuses on quantifying the effect of rainfall on travel time distribution. Travel time and its density distribution are observed to be greatly affected by rainfall. Next, impact of rain on mobility and TTR is quantified using travel time index (TTI) and capacity buffer index (CBI). The percentage difference between maximum TTI values is observed to be 457%, and it is 522% for CBI. Next, the impact due to varying rainfall intensity on travel time distribution, mobility and TTR is evaluated. It is observed that the impact on these quantities is complexly related to the intensity of rainfall. It is also observed that heavy rainfall and day of the week, together, have a significant impact on TTI. CBI is similarly impacted by rainfall intensity. Next, tests are carried out for the statistical significance of the observations. It is deduced that the decline in mobility and reliability during rainfall is statistically significant. Lastly, the effect of rainfall on each quantile of the distribution is analyzed using quantile regression. It is observed that the regression slope varies linearly with the quantiles, indicating significant differences from mean regression and suggesting the use of quantile-specific prediction models as different quantiles of the travel times are impacted differently by the rainfall.
Impact of Rainfall on Traffic Mobility and Reliability Under Indian Traffic Conditions
https://orcid.org/http://orcid.org/0000-0002-1137-9656
Rainfall is one of the most critical elements of weather that affects traffic operations. Traffic mobility and travel time reliability (TTR) are significantly affected by rain. This study focuses on quantifying the impact of rainfall on traffic mobility and TTR. First, the study focuses on quantifying the effect of rainfall on travel time distribution. Travel time and its density distribution are observed to be greatly affected by rainfall. Next, impact of rain on mobility and TTR is quantified using travel time index (TTI) and capacity buffer index (CBI). The percentage difference between maximum TTI values is observed to be 457%, and it is 522% for CBI. Next, the impact due to varying rainfall intensity on travel time distribution, mobility and TTR is evaluated. It is observed that the impact on these quantities is complexly related to the intensity of rainfall. It is also observed that heavy rainfall and day of the week, together, have a significant impact on TTI. CBI is similarly impacted by rainfall intensity. Next, tests are carried out for the statistical significance of the observations. It is deduced that the decline in mobility and reliability during rainfall is statistically significant. Lastly, the effect of rainfall on each quantile of the distribution is analyzed using quantile regression. It is observed that the regression slope varies linearly with the quantiles, indicating significant differences from mean regression and suggesting the use of quantile-specific prediction models as different quantiles of the travel times are impacted differently by the rainfall.
Impact of Rainfall on Traffic Mobility and Reliability Under Indian Traffic Conditions
https://orcid.org/http://orcid.org/0000-0002-1137-9656
Rainfall is one of the most critical elements of weather that affects traffic operations. Traffic mobility and travel time reliability (TTR) are significantly affected by rain. This study focuses on quantifying the impact of rainfall on traffic mobility and TTR. First, the study focuses on quantifying the effect of rainfall on travel time distribution. Travel time and its density distribution are observed to be greatly affected by rainfall. Next, impact of rain on mobility and TTR is quantified using travel time index (TTI) and capacity buffer index (CBI). The percentage difference between maximum TTI values is observed to be 457%, and it is 522% for CBI. Next, the impact due to varying rainfall intensity on travel time distribution, mobility and TTR is evaluated. It is observed that the impact on these quantities is complexly related to the intensity of rainfall. It is also observed that heavy rainfall and day of the week, together, have a significant impact on TTI. CBI is similarly impacted by rainfall intensity. Next, tests are carried out for the statistical significance of the observations. It is deduced that the decline in mobility and reliability during rainfall is statistically significant. Lastly, the effect of rainfall on each quantile of the distribution is analyzed using quantile regression. It is observed that the regression slope varies linearly with the quantiles, indicating significant differences from mean regression and suggesting the use of quantile-specific prediction models as different quantiles of the travel times are impacted differently by the rainfall.
Impact of Rainfall on Traffic Mobility and Reliability Under Indian Traffic Conditions
Transp. in Dev. Econ.
Banik, Sharmili (author) / Vanajakshi, Lelitha (author)
2024-10-01
Article (Journal)
Electronic Resource
English
Impact of Rainfall on Traffic Mobility and Reliability Under Indian Traffic Conditions
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