Thermal environments significantly influence the sensation of pedestrians. This work proposes a navigational approach that takes into consideration the perception of comfort by a pedestrian. Air temperature, relative humidity and wind velocity are the main factors that influence human sensation of thermal,6 sensors have been place in our study area in order to collect sensor data of above factors. We use Universal Thermal Climate Index, which is the most advanced multi-node model of thermoregulations to help assess comfortable level of each path. Finally, a comfort-based navigation approach was discussed.
A Navigational Approach Centered on Pedestrian Comfort: A Case Study From Fuzhou University
2018-07-01
227667 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Predicting the Travel Time in Using Recurrent Neural Networks: A Case Study of Fuzhou
Springer Verlag | 2017
|Study on Development Pattern of Public Transportation in Fuzhou City
Trans Tech Publications | 2013
|Navigation Based on Detected Response of a Pedestrian to Navigational Intent
Europäisches Patentamt | 2019
|Navigation based on detected response of a pedestrian to navigational intent
Europäisches Patentamt | 2021
|