A fusion-based system for road-network traffic state surveillance: a case study of Shanghai

By Qingjie Kong, Yikai Chen, Yuncai Liu. 2009

36 citations recorded by the source corpus.

Subfields: Building and Construction, Transportation, Signal Processing

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Building and Construction

1. Zheng Yan
2. Laurence Tianruo Yang
3. Wenxiu Ding
4. Xuyang Jing

In Signal Processing

1. Laurence Tianruo Yang

Citations in the corpus

• A survey on data fusion in internet of things: Towards secure and privacy-preserving fusion (2019, methodology): “9 min Y N N [107] Traveler information estimation Traffic, weather data Linear weighted sum Arterial road data in Singapore Y N - - - - - Y N N [109] Traveler information estimation Traffic data Weighted average method Beijing traffic data Y N - - - - - N Y N [37] Position estimation Car and GPS dat”
• Estimate Dynamic Road Travel Time Based on Uncertainty Feedback (2014, methodology): “[10] introduced a fusion model based on evidence theory and inspired by the federated Kalman filter; this model performed well with improved accuracy.”