Estimation of PCU’s in Heterogeneous Traffic by Different methods
Transportation gets more intricate when cities get busier. Increased motor vehicles are moving into towns, which means increased traffic jams. The impacts of urbanisation are pervasive and include, but are not limited to, traffic performance, road safety, pollution, and traffic congestion. The risin...
| Principais autores: | , , , , , |
|---|---|
| Formato: | Artigo |
| Idioma: | English |
| Publicado em: |
EDP Sciences
2024-01-01
|
| coleção: | E3S Web of Conferences |
| Assuntos: | |
| Acesso em linha: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/37/e3sconf_icftest2024_01070.pdf |
| _version_ | 1827292523225153536 |
|---|---|
| author | Abood Ahmed Salam K S Prashanth K Saritha Kansal Lavish Parashar Ashish Kumar Kumar Pramod |
| author_facet | Abood Ahmed Salam K S Prashanth K Saritha Kansal Lavish Parashar Ashish Kumar Kumar Pramod |
| author_sort | Abood Ahmed Salam |
| collection | DOAJ |
| description | Transportation gets more intricate when cities get busier. Increased motor vehicles are moving into towns, which means increased traffic jams. The impacts of urbanisation are pervasive and include, but are not limited to, traffic performance, road safety, pollution, and traffic congestion. The rising number of people in the nation is driving up demand for personal vehicles including cars and motorcycles. Adding additional lanes is not enough to solve traffic congestion effectively. So, studying passenger car units (PCU) in heterogeneous traffic becomes necessary. Efforts to derive PCU values for cities roads with various traffic situations are made on this article. Using the density technique, we got somewhat different PCU values for the remaining three cars, but Chandra's method gave us PCU values of 1.99, 3.37, and 1.33, respectively. The data shows that buses make up a significant portion of the traffic in this region, constituting 23% of the total. Of the entire traffic volume, cars account for 16%. There are 19% fewer cars and trucks on two wheels in the research region. Of the total vehicles in the research region, buses constitute 21%. Nineteen percent of all traffic is caused by cars. It has been found that according to site 1 in the research region, three-wheeled vehicles constitute 18% of total traffic. |
| first_indexed | 2024-04-24T13:06:04Z |
| format | Article |
| id | doaj.art-3457c4bc0e1e4b73b7ade2b501b3188f |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-04-24T13:06:04Z |
| publishDate | 2024-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-3457c4bc0e1e4b73b7ade2b501b3188f2024-04-05T07:29:49ZengEDP SciencesE3S Web of Conferences2267-12422024-01-015070107010.1051/e3sconf/202450701070e3sconf_icftest2024_01070Estimation of PCU’s in Heterogeneous Traffic by Different methodsAbood Ahmed Salam0K S Prashanth1K Saritha2Kansal Lavish3Parashar Ashish Kumar4Kumar Pramod5Hilla University CollegeNew Horizon College of EngineeringDepartment of Information Technology, Gokaraju Rangaraju Institute of Engineering and TechnologyLovely Professional UniversityLloyd Institute of Management and TechnologyLloyd Institute of Engineering & TechnologyTransportation gets more intricate when cities get busier. Increased motor vehicles are moving into towns, which means increased traffic jams. The impacts of urbanisation are pervasive and include, but are not limited to, traffic performance, road safety, pollution, and traffic congestion. The rising number of people in the nation is driving up demand for personal vehicles including cars and motorcycles. Adding additional lanes is not enough to solve traffic congestion effectively. So, studying passenger car units (PCU) in heterogeneous traffic becomes necessary. Efforts to derive PCU values for cities roads with various traffic situations are made on this article. Using the density technique, we got somewhat different PCU values for the remaining three cars, but Chandra's method gave us PCU values of 1.99, 3.37, and 1.33, respectively. The data shows that buses make up a significant portion of the traffic in this region, constituting 23% of the total. Of the entire traffic volume, cars account for 16%. There are 19% fewer cars and trucks on two wheels in the research region. Of the total vehicles in the research region, buses constitute 21%. Nineteen percent of all traffic is caused by cars. It has been found that according to site 1 in the research region, three-wheeled vehicles constitute 18% of total traffic.https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/37/e3sconf_icftest2024_01070.pdfheterogeneous trafficpassenger car unitspeedtraffic volume |
| spellingShingle | Abood Ahmed Salam K S Prashanth K Saritha Kansal Lavish Parashar Ashish Kumar Kumar Pramod Estimation of PCU’s in Heterogeneous Traffic by Different methods E3S Web of Conferences heterogeneous traffic passenger car unit speed traffic volume |
| title | Estimation of PCU’s in Heterogeneous Traffic by Different methods |
| title_full | Estimation of PCU’s in Heterogeneous Traffic by Different methods |
| title_fullStr | Estimation of PCU’s in Heterogeneous Traffic by Different methods |
| title_full_unstemmed | Estimation of PCU’s in Heterogeneous Traffic by Different methods |
| title_short | Estimation of PCU’s in Heterogeneous Traffic by Different methods |
| title_sort | estimation of pcu s in heterogeneous traffic by different methods |
| topic | heterogeneous traffic passenger car unit speed traffic volume |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/37/e3sconf_icftest2024_01070.pdf |
| work_keys_str_mv | AT aboodahmedsalam estimationofpcusinheterogeneoustrafficbydifferentmethods AT ksprashanth estimationofpcusinheterogeneoustrafficbydifferentmethods AT ksaritha estimationofpcusinheterogeneoustrafficbydifferentmethods AT kansallavish estimationofpcusinheterogeneoustrafficbydifferentmethods AT parasharashishkumar estimationofpcusinheterogeneoustrafficbydifferentmethods AT kumarpramod estimationofpcusinheterogeneoustrafficbydifferentmethods |