نوع مقاله : مقاله پژوهشی
نویسندگان
1 دانشجوی دکتری مهندسی صنایع، سیستم های اقتصادی و اجتماعی، دانشگاه علم و صنعت ایران
2 گروه مهندسی سیستم، دانشکده صنایع، دانشگاه علم و صنعت ایران، تهران، ایران
3 استاد دانشکده مهندسی صنایع، دانشگاه علم و صنعت ایران
چکیده
کلیدواژهها
موضوعات
عنوان مقاله [English]
نویسندگان [English]
Drivers are one of the main actors of transportation systems, which are able to make unexpected effects on the system and leave important information due to their human and social nature and smart behavior. Thus, the analysis of transportation systems considering this key role can provide valuable information to transportation managers. In this article, we first introduce the drivers’ collaboration network. Also, in order to explore the hidden structure within the network, a heuristic algorithm for detecting communities will be developed, considering both the effect of overlapping among drivers’ communities and existing several types of relationship between them, in the drivers’ collaboration network. Also, the developed algorithm will be able to incorporate the effect of non-member neighbor nodes in the community detection process. By evaluating and comparing the performance of the developed algorithm with the others, the results will indicate a better performance for the algorithm and also its higher speed, by reducing the search space in the edges of the network. Finally, the algorithm will be implemented and evaluated on a case study of freight road transportation drivers’ collaboration network in Iran.
کلیدواژهها [English]