AbstractCongestion has been a major challenge to urban traffic system. Based on GPS floating-car data (FCD), a method to acquire traffic congestion information is studied. And then, using about 6,000,000 pieces of data generated by 500 taxis in one day as experiment data, we extract the traffic congestion information of a big city in China through GPS data preprocessing, map matching, travel speed estimation, and several other key steps, and finally a map which exhibit the traffic congestion distribution of the city is produced
In this paper, we explore spatio-temporal clusters using massive floating car data from a complex ne...
AbstractThe information acquisition of road traffic flow is requisite for urban traffic control and ...
Road traffic congestion is majorproblem in urban area of both developing anddeveloped countries. In ...
AbstractCongestion has been a major challenge to urban traffic system. Based on GPS floating-car dat...
Traffic congestion is one of the most serious problems that impact urban transportation efficiency, ...
Traditionally, the mapping of flow rate in a road network has been based on spot and intersection co...
Traffic congestion is one of the most serious problems that impact urban transportation efficiency, ...
Abstract Fast and reliable evaluation of regional traffic congestion is beneficial to more effective...
Real time data collection in traffic engineering is crucial for better traffic corridor control and ...
For the issue that existing approaches on studying traffic conditions using GPS traces lack of detai...
In an era of increasing urban traffic congestion, cities in China still lack a comparable congestion...
The world's urban population growth and economic development have led to the reshaping of metropol...
AbstractWith the increasing amount of traffic information collected through floating car data, it is...
In this paper, we use Floating Car Data from the city of Shanghai and Fuzzy Inference model to detec...
Urban congestion can be classified into two types: Recurrent Congestion (RC) and Non-Recurrent Conge...
In this paper, we explore spatio-temporal clusters using massive floating car data from a complex ne...
AbstractThe information acquisition of road traffic flow is requisite for urban traffic control and ...
Road traffic congestion is majorproblem in urban area of both developing anddeveloped countries. In ...
AbstractCongestion has been a major challenge to urban traffic system. Based on GPS floating-car dat...
Traffic congestion is one of the most serious problems that impact urban transportation efficiency, ...
Traditionally, the mapping of flow rate in a road network has been based on spot and intersection co...
Traffic congestion is one of the most serious problems that impact urban transportation efficiency, ...
Abstract Fast and reliable evaluation of regional traffic congestion is beneficial to more effective...
Real time data collection in traffic engineering is crucial for better traffic corridor control and ...
For the issue that existing approaches on studying traffic conditions using GPS traces lack of detai...
In an era of increasing urban traffic congestion, cities in China still lack a comparable congestion...
The world's urban population growth and economic development have led to the reshaping of metropol...
AbstractWith the increasing amount of traffic information collected through floating car data, it is...
In this paper, we use Floating Car Data from the city of Shanghai and Fuzzy Inference model to detec...
Urban congestion can be classified into two types: Recurrent Congestion (RC) and Non-Recurrent Conge...
In this paper, we explore spatio-temporal clusters using massive floating car data from a complex ne...
AbstractThe information acquisition of road traffic flow is requisite for urban traffic control and ...
Road traffic congestion is majorproblem in urban area of both developing anddeveloped countries. In ...