Identification and Prediction of Large Pedestrian Flow in Urban Areas Based on a Hybrid Detection Approach
Recently, population density has grown quickly with the increasing acceleration of urbanization. At the same time, overcrowded situations are more likely to occur in populous urban areas, increasing the risk of accidents. This paper proposes a synthetic approach to recognize and identify the large p...
Main Authors: | Kaisheng Zhang, Mei Wang, Bangyang Wei, Daniel(Jian) Sun |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2016-12-01
|
Series: | Sustainability |
Subjects: | |
Online Access: | http://www.mdpi.com/2071-1050/9/1/36 |
Similar Items
-
RSS Fingerprint Based Indoor Localization Using Sparse Representation with Spatio-Temporal Constraint
by: Xinglin Piao, et al.
Published: (2016-11-01) -
Pedestrian Flow Identification and Occupancy Prediction for Indoor Areas
by: K, K., et al.
Published: (2023) -
Minimum Euclidean Distance Algorithm for Indoor WiFi Received Signal Strength (RSS) Fingerprinting
by: Zegeye, Wondimu K., et al.
Published: (2016) -
A Comparative Performance Evaluation of Machine Learning Algorithms for Fingerprinting Based Localization in DM-MIMO Wireless Systems Relying on Big Data Techniques
by: Walaa Y. Al-Rashdan, et al.
Published: (2020-01-01) -
On the Dynamic RSS Feedbacks of Indoor Fingerprinting Databases for Localization Reliability Improvement
by: Xiaoyang Wen, et al.
Published: (2016-08-01)