Identification, cost evaluation, and prioritization of urban traffic congestions and their origin
Abstract The increasing urbanization in the last decades results in significant growth in urban traffic congestion around the world. This leads to enormous time people spent on roads and thus significant money waste and air pollution. Here, we present a novel methodology for identification, cost eva...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2022-07-01
|
| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-022-17404-8 |
| _version_ | 1811223067732475904 |
|---|---|
| author | Nimrod Serok Shlomo Havlin Efrat Blumenfeld Lieberthal |
| author_facet | Nimrod Serok Shlomo Havlin Efrat Blumenfeld Lieberthal |
| author_sort | Nimrod Serok |
| collection | DOAJ |
| description | Abstract The increasing urbanization in the last decades results in significant growth in urban traffic congestion around the world. This leads to enormous time people spent on roads and thus significant money waste and air pollution. Here, we present a novel methodology for identification, cost evaluation, and thus, prioritization of congestion origins, i.e., their bottlenecks. The presented work is based on network analysis of the entire road network from a global point of view. We identify and prioritize traffic bottlenecks based on big data of traffic speed retrieved in near-real-time. Our approach highlights the bottlenecks that have the most significant effect on the global urban traffic flow. We follow the evolution of every traffic congestion in the entire urban network and rank all the congestions, based on the cost they cause (in Vehicle Hours units). We show that the macro-stability that represents the seeming regularity of traffic load both in time and space, overshadows the existence of meso-dynamics, where the bottlenecks that create these congestions usually do not reappear on different days or hours. Thus, our method enables to identify in near-real-time both recurrent and nonrecurrent congestions and their sources. |
| first_indexed | 2024-04-12T08:25:34Z |
| format | Article |
| id | doaj.art-9ee7c2e07f474a2b857aee9036b5eef9 |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-04-12T08:25:34Z |
| publishDate | 2022-07-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-9ee7c2e07f474a2b857aee9036b5eef92022-12-22T03:40:23ZengNature PortfolioScientific Reports2045-23222022-07-0112111110.1038/s41598-022-17404-8Identification, cost evaluation, and prioritization of urban traffic congestions and their originNimrod Serok0Shlomo Havlin1Efrat Blumenfeld Lieberthal2Azrieli School of Architecture, Tel Aviv UniversityDepartment of Physics, Bar-Ilan UniversityAzrieli School of Architecture, Tel Aviv UniversityAbstract The increasing urbanization in the last decades results in significant growth in urban traffic congestion around the world. This leads to enormous time people spent on roads and thus significant money waste and air pollution. Here, we present a novel methodology for identification, cost evaluation, and thus, prioritization of congestion origins, i.e., their bottlenecks. The presented work is based on network analysis of the entire road network from a global point of view. We identify and prioritize traffic bottlenecks based on big data of traffic speed retrieved in near-real-time. Our approach highlights the bottlenecks that have the most significant effect on the global urban traffic flow. We follow the evolution of every traffic congestion in the entire urban network and rank all the congestions, based on the cost they cause (in Vehicle Hours units). We show that the macro-stability that represents the seeming regularity of traffic load both in time and space, overshadows the existence of meso-dynamics, where the bottlenecks that create these congestions usually do not reappear on different days or hours. Thus, our method enables to identify in near-real-time both recurrent and nonrecurrent congestions and their sources.https://doi.org/10.1038/s41598-022-17404-8 |
| spellingShingle | Nimrod Serok Shlomo Havlin Efrat Blumenfeld Lieberthal Identification, cost evaluation, and prioritization of urban traffic congestions and their origin Scientific Reports |
| title | Identification, cost evaluation, and prioritization of urban traffic congestions and their origin |
| title_full | Identification, cost evaluation, and prioritization of urban traffic congestions and their origin |
| title_fullStr | Identification, cost evaluation, and prioritization of urban traffic congestions and their origin |
| title_full_unstemmed | Identification, cost evaluation, and prioritization of urban traffic congestions and their origin |
| title_short | Identification, cost evaluation, and prioritization of urban traffic congestions and their origin |
| title_sort | identification cost evaluation and prioritization of urban traffic congestions and their origin |
| url | https://doi.org/10.1038/s41598-022-17404-8 |
| work_keys_str_mv | AT nimrodserok identificationcostevaluationandprioritizationofurbantrafficcongestionsandtheirorigin AT shlomohavlin identificationcostevaluationandprioritizationofurbantrafficcongestionsandtheirorigin AT efratblumenfeldlieberthal identificationcostevaluationandprioritizationofurbantrafficcongestionsandtheirorigin |