Smart Mobility Application: Improving public transportation operations using artificial intelligence.
| dc.contributor.author | BOURBIA , Mohamed Nabil | |
| dc.contributor.author | BOUFARES , Sabri ; NADJI , Said Fadhel Hasen | |
| dc.contributor.author | HAZMOUNE , Samira ; BOUGAMOUZA , Fateh | |
| dc.date.accessioned | 2024-10-22T13:35:54Z | |
| dc.date.available | 2024-10-22T13:35:54Z | |
| dc.date.issued | 2024 | |
| dc.description.abstract | The spread of urbanization and the increase in population density in urban areas have highlighted the importance of public transportation systems. With the growing population in cities, the demand for public transportation options that are easy and efficient has also increased. However, traditional public transportation services often fail to meet the dynamic needs of contemporary passengers, who require accurate and timely information for their daily commutes to avoid unnecessary time and effort. Therefore, the development of an advanced application that enables users to access public transportation services easily and seamlessly without the need for inquiries or manual assistance is crucial. This master’s thesis focuses on creating an application that facilitates urban transportation and mobility without the need for inquiries or assistance from others, utilizing artificial intelligence and reinforcement learning techniques. | |
| dc.identifier.uri | http://dspace.univ-skikda.dz:4000/handle/123456789/2955 | |
| dc.language.iso | en | |
| dc.publisher | Faculty of science | |
| dc.title | Smart Mobility Application: Improving public transportation operations using artificial intelligence. | |
| dc.title.alternative | Artificial intelligence | |
| dc.type | Master's degree diploma |