چکیده مقاله
A multimodal multi criteria route planning MMRP system provides an optimal multimodal route from an origin point to a destination point considering two or morecriteria in a way this route can be a combination of public and private transportation modes In this research, analytical hierarchy process AHP , quantifier guided OWA operators and genetic algorithm GA have been used for MMRP The main aspect of the quantifierguidedOWA is supporting different decision strategies A decision strategy defines whether a user insists on satisfying all of his/her preferences regarding the selection of one route from a set of routes or he/she will be happy if most of criteria would be satisfied In this study, five transportation modes, including subway, bus rapid transit BRT , taxi, walking, and bus were considered for moving between nodes Also, the fare, the time, theuser’s bother, and the length of the path were considered as effective criteria for solving the problem The proposed models were implemented in an area in center of Tehran in a GUI MATLAB programming language The results proved that, on average 80% of the userswith different decision strategies, selected the model’s proposed route as the best route
کلیدواژهها
نویسندگان
f Ghaderi
MSc Student in GIS Division, School of Surveying and Geomatic Eng , College of Eng , University of Tehran, Tehran, Iran
p Pahlavani
Assistant Professor, Center of Excellence in Geomatics Eng in Disaster Management, School of Surveying and Geomatics Eng , University of Tehran, Tehran, Iran,
شیوه ارجاع
Ghaderi, f and Pahlavani, p,1394,Multi-modal multi-criteria personalized route planning by integrating AHP weighting method, quantifier-guided OWA operators and genetic algorithm,The 15th International Conference on Traffic and Transportation Engineering,Tehran
ارائهشده در
مجموعه مقالات پانزدهمین کنفرانس بین المللی مهندسی حمل و نقل و ترافیک11 اسفند 1394 · تهران