Add to ORKGUrban growth and its pressure on infrastructure causes congestion in pedestrian facilities and asks for tools to design and optimize infrastructure. Our goal consists in estimating and forecasting pedestrian demand using data at the scale of pedestrian infrastructures
Why model pedestrians? A new predictive tool for estimating pedestrian demand has potential applicat...
Since existing methods to estimate the pedestrian activity in an urban area are data-intensive, we a...
With the advanced capabilities of mobile devices and the success of car navigation systems, interest...
This paper develops a framework for understanding pedestrian mobility pattern from WiFi traces and o...
In order to investigate what place WiFi fingerprinting has in pedestrian-oriented planning, an inter...
There is growing support for improvements to the quality of the walking environment, including more ...
This dataset contains and describes the data used in Danalet, A., Farooq, B., & Bierlaire, M. (2014...
Destination Choice Model including panel data using WiFi localization in a pedestrian facility April...
2016PDFManuscript17 02095AlgorithmsBluetooth technologyData collectionData fusionMethodologyPedestri...
This study assessed the applicability of geolocation data provided by public Wi-Fi infrastructures a...
While several studies have attempted to understand human mobility using Wi-Fi and Bluetooth tracking...
Advances in information technology have provided opportunities to better understand urban activities...
Little is known about pedestrian movements, densities and presence in city centers, although this kn...
This dataset contains the data used in: Danalet, A., Farooq, B. and Bierlaire, M. (2013). A Bayesia...
Little is known about pedestrian movements, densities and presence in city centers, although this kn...
Why model pedestrians? A new predictive tool for estimating pedestrian demand has potential applicat...
Since existing methods to estimate the pedestrian activity in an urban area are data-intensive, we a...
With the advanced capabilities of mobile devices and the success of car navigation systems, interest...
This paper develops a framework for understanding pedestrian mobility pattern from WiFi traces and o...
In order to investigate what place WiFi fingerprinting has in pedestrian-oriented planning, an inter...
There is growing support for improvements to the quality of the walking environment, including more ...
This dataset contains and describes the data used in Danalet, A., Farooq, B., & Bierlaire, M. (2014...
Destination Choice Model including panel data using WiFi localization in a pedestrian facility April...
2016PDFManuscript17 02095AlgorithmsBluetooth technologyData collectionData fusionMethodologyPedestri...
This study assessed the applicability of geolocation data provided by public Wi-Fi infrastructures a...
While several studies have attempted to understand human mobility using Wi-Fi and Bluetooth tracking...
Advances in information technology have provided opportunities to better understand urban activities...
Little is known about pedestrian movements, densities and presence in city centers, although this kn...
This dataset contains the data used in: Danalet, A., Farooq, B. and Bierlaire, M. (2013). A Bayesia...
Little is known about pedestrian movements, densities and presence in city centers, although this kn...
Why model pedestrians? A new predictive tool for estimating pedestrian demand has potential applicat...
Since existing methods to estimate the pedestrian activity in an urban area are data-intensive, we a...
With the advanced capabilities of mobile devices and the success of car navigation systems, interest...