Exploring the potential of market-available connected vehicle data in border crossing time estimation
This study evaluates the potential of market-available crowdsourced driving data—connected vehicle (CV) data in estimating crossing times for passenger vehicles at ports of entry (POEs). Two months of CV data collected from a POE at the US-Mexico border in El Paso, Texas were processed using cloud c...
| Main Authors: | , , , |
|---|---|
| Format: | Journal article |
| Language: | English |
| Published: |
SAGE Publications
2024
|
| _version_ | 1826315374972370944 |
|---|---|
| author | Jalilifar, E Li, X Martin, M Huang, X |
| author_facet | Jalilifar, E Li, X Martin, M Huang, X |
| author_sort | Jalilifar, E |
| collection | OXFORD |
| description | This study evaluates the potential of market-available crowdsourced driving data—connected vehicle (CV) data in estimating crossing times for passenger vehicles at ports of entry (POEs). Two months of CV data collected from a POE at the US-Mexico border in El Paso, Texas were processed using cloud computation tools to generate hourly aggregated border crossing times (CV-Time). In addition, this study also generated different variables to characterize the speed profile of CVs at different locations along a POE. Different regression models were developed to estimate border crossing times based on CV-generated variables and compared with ground truth observations from existing monitoring systems. The results show that the CV-Time is strongly correlated with the ground truth observations with a correlation rate of 0.82. The best-fitted Gradient Boost Regression model achieved an RMSE of 15.50 and MAPE of 25%. Our findings suggest that market-available CV data is promising for monitoring border crossing times, especially for supplementing physical monitoring systems when they are down for maintenance. |
| first_indexed | 2024-03-07T08:23:39Z |
| format | Journal article |
| id | oxford-uuid:bf0f6ab5-f8b4-42f7-b0e3-231f7f6edf47 |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-12-09T03:26:44Z |
| publishDate | 2024 |
| publisher | SAGE Publications |
| record_format | dspace |
| spelling | oxford-uuid:bf0f6ab5-f8b4-42f7-b0e3-231f7f6edf472024-11-28T11:55:13ZExploring the potential of market-available connected vehicle data in border crossing time estimationJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:bf0f6ab5-f8b4-42f7-b0e3-231f7f6edf47EnglishSymplectic ElementsSAGE Publications2024Jalilifar, ELi, XMartin, MHuang, XThis study evaluates the potential of market-available crowdsourced driving data—connected vehicle (CV) data in estimating crossing times for passenger vehicles at ports of entry (POEs). Two months of CV data collected from a POE at the US-Mexico border in El Paso, Texas were processed using cloud computation tools to generate hourly aggregated border crossing times (CV-Time). In addition, this study also generated different variables to characterize the speed profile of CVs at different locations along a POE. Different regression models were developed to estimate border crossing times based on CV-generated variables and compared with ground truth observations from existing monitoring systems. The results show that the CV-Time is strongly correlated with the ground truth observations with a correlation rate of 0.82. The best-fitted Gradient Boost Regression model achieved an RMSE of 15.50 and MAPE of 25%. Our findings suggest that market-available CV data is promising for monitoring border crossing times, especially for supplementing physical monitoring systems when they are down for maintenance. |
| spellingShingle | Jalilifar, E Li, X Martin, M Huang, X Exploring the potential of market-available connected vehicle data in border crossing time estimation |
| title | Exploring the potential of market-available connected vehicle data in border crossing time estimation |
| title_full | Exploring the potential of market-available connected vehicle data in border crossing time estimation |
| title_fullStr | Exploring the potential of market-available connected vehicle data in border crossing time estimation |
| title_full_unstemmed | Exploring the potential of market-available connected vehicle data in border crossing time estimation |
| title_short | Exploring the potential of market-available connected vehicle data in border crossing time estimation |
| title_sort | exploring the potential of market available connected vehicle data in border crossing time estimation |
| work_keys_str_mv | AT jalilifare exploringthepotentialofmarketavailableconnectedvehicledatainbordercrossingtimeestimation AT lix exploringthepotentialofmarketavailableconnectedvehicledatainbordercrossingtimeestimation AT martinm exploringthepotentialofmarketavailableconnectedvehicledatainbordercrossingtimeestimation AT huangx exploringthepotentialofmarketavailableconnectedvehicledatainbordercrossingtimeestimation |