Application of Probe-Vehicle Data for Real-Time Traffic-State Estimation and Short-Term Travel-Time Prediction on a Freeway

By C. Nanthawichit, T. Nakatsuji, Hironori Suzuki. 2003

318 citations recorded by the source corpus.

Subfields: Building and Construction, Control and Systems Engineering, Transportation

View Paper: https://www.semanticscholar.org/paper/1a6e49c2e8ba10b1a04a201824dc9f80ac9c32b0

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. Alexandre M. Bayen
2. Quinn Jacobson
3. Juan Carlos Herrera
4. Murali Annavaram
5. Ryan Herring
6. Takahiko Kusakabe
7. D. Work
8. Yasuo Asakura

In Control and Systems Engineering

1. D. Work
2. Alexandre M. Bayen
3. Takahiko Kusakabe
4. Yasuo Asakura
5. Toru Seo

In Transportation

1. Alexandre M. Bayen
2. Quinn Jacobson
3. Juan Carlos Herrera
4. Murali Annavaram
5. Marco Gruteser
6. Ryan Herring
7. Takahiko Kusakabe
8. Jeff Ban

Citations in the corpus

• Virtual trip lines for distributed privacy-preserving traffic monitoring (2008, methodology): “Some of the studies use microsimulation data to generate the GPS measurement to estimate travel time [49] and [19], while some others make use of real vehicle trajectories to generate GPS measurement to estimate traffic state [34].”
• Traffic state estimation on highway: A comprehensive survey (2017, methodology): “Because of this beneficial feature, it has been widely used in TSE studies (e.g., Nanthawichit et al., 2003; Wang and Papageorgiou, 2005; Schreiter et al., 2010).”