{"title":"New Urban Mobility Algorithm Based On User Experience","authors":"Meriem Joundi, Mahdi E. L. Alaoui, A. Hayar","doi":"10.1109/ISC2.2018.8656955","DOIUrl":null,"url":null,"abstract":"Nowadays, getting around has become an essential aspect of everyday life. The urban road traffic of the city of Casablanca the same all the other big cities, is at the heart of many issues related to economy and environment. In order to find a way around these problems, several vehicles routing algorithms have been proposed to compute the shortest path between two given locations in a road traffic network, and considerable efforts have been made to improve routing algorithms, but existing approaches have forgotten that there are several factors that affect the efficiency of the algorithm. In this work we propose a new vehicle routing algorithm taking into account multiple traffic environment factors based on the user experience. Subsequently, we have highlighted the important role of these traffic factors and their impact to select rapid paths. To achieve it, we have conducted a comparison between the proposed algorithm and Dijkstra.","PeriodicalId":344652,"journal":{"name":"2018 IEEE International Smart Cities Conference (ISC2)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE International Smart Cities Conference (ISC2)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISC2.2018.8656955","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Nowadays, getting around has become an essential aspect of everyday life. The urban road traffic of the city of Casablanca the same all the other big cities, is at the heart of many issues related to economy and environment. In order to find a way around these problems, several vehicles routing algorithms have been proposed to compute the shortest path between two given locations in a road traffic network, and considerable efforts have been made to improve routing algorithms, but existing approaches have forgotten that there are several factors that affect the efficiency of the algorithm. In this work we propose a new vehicle routing algorithm taking into account multiple traffic environment factors based on the user experience. Subsequently, we have highlighted the important role of these traffic factors and their impact to select rapid paths. To achieve it, we have conducted a comparison between the proposed algorithm and Dijkstra.