Traffic Information and Control
Written by an international team of researchers, this book focuses on traffic information processing and signal control using emerging types of traffic data. It conveys advanced methods to estimate and predict traffic flows at different levels, including macroscopic, mesoscopic and microscopic. The...
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| Hlavní autori: | , |
|---|---|
| Médium: | E-kniha |
| Jazyk: | English |
| Vydavateľské údaje: |
Stevenage
The Institution of Engineering and Technology
2021
Institution of Engineering & Technology Institution of Engineering and Technology |
| Vydanie: | 1 |
| Edícia: | Transportation |
| Predmet: | |
| ISBN: | 9781839530258, 1839530251 |
| On-line prístup: | Získať plný text |
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Obsah:
- Chapter 1: Introduction -- Part I: Modern traffic information technology -- Chapter 2: Traffic analytics with online web data -- Chapter 3: Macroscopic traffic performance indicators based on floating car data: formation, pattern analysis, and deduction -- Chapter 4: Short-term travel-time prediction by deep learning: a comparison of different LSTM-DNN models -- Chapter 5: Short-term traffic prediction under disruptions using deep learning -- Chapter 6: Real-time demand-based traffic diversion -- Chapter 7: Game theoretic lane change strategy for cooperative vehicles under perfect information -- Chapter 8: Cooperative driving and a lane change-free road transportation system -- -- Part II: Modern traffic signal control -- Chapter 9: Urban traffic control systems: architecture, methods and development -- Chapter 10: Algorithms and models for signal coordination -- Chapter 11: Emerging technologies to enhance traffic signal coordination practices -- Chapter 12: Traffic signal control for short-distance intersections with dynamic reversible lanes -- Chapter 13: Multiday evaluation of adaptive traffic signal system based on license plate recognition detector data -- Chapter 14: Conclusion --
- Intro -- Contents -- About the editors -- 1. Introduction | Ruimin Li and Zhengbing He -- 1.1 Motivation -- 1.2 Purpose -- 1.3 Scope -- 1.4 Book structure -- Part I: Modern traffic information technology -- 2. Traffic analytics with online web data | Yisheng Lv, Yuanyuan Chen, Xueliang Zhao and Hao Lu -- 2.1 Introduction -- 2.2 Literature review -- 2.3 Methodology -- 2.4 Some results -- 2.5 Conclusion -- References -- 3. Macroscopic traffic performance indicators based on floating car data: formation, pattern analysis, and deduction | Lu Ma and Jiaqi He -- 3.1 Introduction -- 3.2 A macroscopic traffic performance indicator: network-level trip speed -- 3.3 Methods of time series analysis -- 3.4 Analyses of the NLT speed time series -- 3.5 Conclusions -- References -- 4. Short-term travel-time prediction by deep learning: a comparison of different LSTM-DNN models | Yangdong Liu, Lan Wu, Jia Hu, Xiaoguang Yang and Kunpeng Zhang -- 4.1 Introduction -- 4.2 Traffic time series estimation with deep learning -- 4.3 The LSTM-DNN models -- 4.4 Experiments -- 4.5 Conclusion and future work -- References -- 5. Short-term traffic prediction under disruptions using deep learning | Yanjie Dong, Fangce Guo, Aruna Sivakumar and John Polak -- 5.1 Introduction -- 5.2 Literature review -- 5.3 Methodology -- 5.4 Short-term traffic data prediction using real-world data in London -- 5.5 Conclusions and future research -- References -- 6. Real-time demand-based traffic diversion | Pengpeng Jiao -- 6.1 Model of path choice behavior of driver under guidance information -- 6.2 Optimization of traffic diversion strategy -- 6.3 Research on dynamic O-D estimation -- 6.4 Dynamic traffic diversion model based on dynamic traffic demand estimation and prediction -- 6.5 Conclusion -- References
- 7. Game theoretic lane change strategy for cooperative vehicles under perfect information | Andres Ladino and Meng Wang -- 7.1 Introduction -- 7.2 Problem formulation -- 7.3 Highway traffic system dynamics -- 7.4 Game theoretic formulation of the lane change decision problem -- 7.5 Numerical examples -- 7.6 Conclusion -- References -- 8. Cooperative driving and a lane change-free road transportation system | Zhengbing He -- 8.1 Introduction -- 8.2 Cooperative driving strategies at intersections -- 8.3 Cooperative driving strategies at on-ramps -- 8.4 Lane change-free road transportation system -- 8.5 Conclusion and future direction -- Acknowledgements -- References -- Part II: Modern traffic signal control -- 9. Urban traffic control systems: architecture, methods and development | Fusheng Zhang and Lu Wei -- 9.1 Introduction -- 9.2 SCOOT -- 9.3 SCATS -- 9.4 Summaries and limitation analysis -- 9.5 Future analysis of urban traffic control system -- References -- 10. Algorithms and models for signal coordination | Hao Wang and Changze Li -- 10.1 Introduction -- 10.2 Basic MAXBAND approach -- 10.3 Extended MAXBAND approach -- 10.4 MAXBAND for network system -- 10.5 Discussion and open issues -- 10.6 Conclusion -- References -- 11. Emerging technologies to enhance traffic signal coordination practices | Zong Tian and Aobo Wang -- 11.1 Coordination timing development and optimization -- 11.2 Field implementation and timing diagnosis -- 11.3 Performance measures for assessing the quality of signal coordination -- 11.4 Signal timing documentation -- 11.5 Summary -- References -- 12. Traffic signal control for short-distance intersections with dynamic reversible lanes | Haipeng Shao, Siyuan Song, Juan Yin and Hui Jin -- 12.1 Introduction -- 12.2 Application of dynamic reversible lane -- 12.3 Model of signal timing -- 12.4 Calibration and validation
- 12.5 Adaptability analysis -- 12.6 Conclusion -- References -- 13. Multiday evaluation of adaptive traffic signal system based on license plate recognition detector data | Ruimin Li, Fanhang Yang and Shichao Lin -- 13.1 Introduction -- 13.2 Methodology -- 13.3 Case description and dataset -- 13.4 Results -- 13.5 Evaluation of the PCD -- 13.6 Conclusion -- Acknowledgments -- References -- 14. Conclusion | Zhengbing He and Ruimin Li -- Index