30   Artículos

 
en línea
Minshi Liu, Ling Zhang, Yi Long, Yong Sun and Mingwei Zhao    
With the rising popularity of portable mobile positioning equipment, the volume of mobile trajectory data is increasing. Therefore, trajectory data compression has become an important basis for trajectory data processing, analysis, and mining. According ... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Lin Qu, Yue Zhou, Jiangxin Li, Qiong Yu and Xinguo Jiang    
Map matching of trajectory data has wide applications in path planning, traffic flow analysis, and intelligent driving. The process of map matching involves matching GPS trajectory points to roads in a roadway network, thereby converting a trajectory seq... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Xuyu Feng, Jianhua Yu, Zihan Kan, Lin Zhou, Luliang Tang and Xue Yang    
With the advent of the information age and rapid population growth, the urban transportation environment is deteriorating. Travel-route planning is a key issue in modern sustainable transportation systems. When conducting route planning, identifying the ... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Xin Chen, Longgang Xiang, Fengwei Jiao and Huayi Wu    
OpenStreetMap (OSM) road networks provide public digital maps underlying many spatial applications such as routing engines and navigation services. However, turning relationships and time restrictions at OSM intersections are lacking in these maps, posin... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Yulong Bai, Guolian Li, Tianxiu Lu, Yadong Wu, Weihan Zhang and Yidan Feng    
Most existing road network matching algorithms are designed based on previous rules and do not fully utilize the potential of big data and historical tracks. To solve this problem, we introduce a new road network matching algorithm based on deep learning... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Syed Adil Hussain, Muhammad Umair Hassan, Wajeeha Nasar, Sara Ghorashi, Mona M. Jamjoom, Abdel-Haleem Abdel-Aty, Amna Parveen and Ibrahim A. Hameed    
The analysis of individuals? movement behaviors is an important area of research in geographic information sciences, with broad applications in smart mobility and transportation systems. Recent advances in information and communication technologies have ... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Subhrasankha Dey, Martin Tomko and Stephan Winter    
Map-matching of trajectory data has widespread applications in vehicle tracking, traffic flow analysis, route planning, and intelligent transportation systems. Map-matching algorithms snap a set of trajectory points observed by a satellite navigation sys... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Georgia Ayfantopoulou, Marios Nikolaos Militsis, Josep Maria Salanova Grau and Socrates Basbas    
Revista: Information    Formato: Electrónico

 
en línea
Qingying Yu, Fan Hu, Chuanming Chen, Liping Sun and Xiaoyao Zheng    
Numerous Global Positioning System connected vehicles are collecting extensive data remotely in cities, enabling data-driven infrastructure planning. To truly benefit from this emerging technology, it is important to combine telematics and map data to ma... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Shuxin Jin, Zhouhao Wu, Tong Shen, Di Wang and Ming Cai    
Nowadays, the market demand for taxis is still intense. However, there exist lots of issues affecting the healthy development of the taxi industry, such as an increasing difficulty in hailing taxis, detouring behavior etc., and especially, the low income... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

« Anterior     Página: 1 de 3     Siguiente »