Feature Extraction and Representation of Urban Road Networks Based on Travel Routes
نویسندگان
چکیده
منابع مشابه
Urban Road Travel Time Prediction based on ELM
The Travel Time Prediction (TTP) is an important element in the study of the advanced transportation guidance system and control system. In this paper, an advanced method with Extreme Learning Machine algorithm(ELM) has been discussed by analyzing the various travel time prediction method. The feasibility and advantages of Extreme Learning Machine in travel time prediction has been studied, and...
متن کاملRoad2Vec: Measuring Traffic Interactions in Urban Road System from Massive Travel Routes
Good characterization of traffic interactions among urban roads can facilitate traffic-related applications, such as traffic control and short-term forecasting. Most studies measure the traffic interaction between two roads by their topological distance or the correlation between their traffic variables. However, the distance-based methods neglect the spatial heterogeneity of roads’ traffic int...
متن کاملMedical Image Fusion Based on Feature Extraction and Sparse Representation
As a novel multiscale geometric analysis tool, sparse representation has shown many advantages over the conventional image representation methods. However, the standard sparse representation does not take intrinsic structure and its time complexity into consideration. In this paper, a new fusion mechanism for multimodal medical images based on sparse representation and decision map is proposed ...
متن کاملAutomatic Extraction of Road Networks in Urban Areas from Ikonos Imagery Based on Spatial Reasoning
In this study we developed a spatial reasoning-based method of automatically extracting roads in a densely populated suburb of Auckland, New Zealand from IKONOS data. First, all of the four multispectral bands were grouped into 20 clusters in an unsupervised classification, two of which corresponded to road networks. This intermediate result was then converted into a binary image of road and no...
متن کاملTraffic Density-Based Discovery of Hot Routes in Road Networks
Finding hot routes (traffic flow patterns) in a road network is an important problem. They are beneficial to city planners, police departments, real estate developers, and many others. Knowing the hot routes allows the city to better direct traffic or analyze congestion causes. In the past, this problem has largely been addressed with domain knowledge of city. But in recent years, detailed info...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Sustainability
سال: 2020
ISSN: 2071-1050
DOI: 10.3390/su12229621