Road network abstraction approach for traffic analysis: framework and numerical analysis (English)
Free access
- New search for: Zhu, Lei
- New search for: Chiu, Yi-Chang
- New search for: Chen, Yuche
- New search for: Zhu, Lei
- New search for: Chiu, Yi-Chang
- New search for: Chen, Yuche
In:
IET Intelligent Transport Systems
;
11
, 7
;
424-430
;
2017
- Article (Journal) / Electronic Resource
-
Title:Road network abstraction approach for traffic analysis: framework and numerical analysis
-
Contributors:
-
Published in:IET Intelligent Transport Systems ; 11, 7 ; 424-430
-
Publisher:
- New search for: The Institution of Engineering and Technology
-
Publication date:2017-09-22
-
Size:7 pages
-
ISSN:
-
DOI:
-
Type of media:Article (Journal)
-
Type of material:Electronic Resource
-
Language:English
-
Keywords:transportation analysis , dynamic traffic simulation model , numerical analysis , transportation , transportation modelling , road traffic , traffic analysis performance metrics , road network abstraction approach , transportation planning , full-size road network , computational complexity , dynamic traffic assignment
-
Source:
Metadata by IET is licensed under CC BY 3.0
Table of contents – Volume 11, Issue 7
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 359
-
Guest Editorial: Highlights from the ITS European Congress in Glasgow (2016)Nelson, John D. / Wright, Steve et al. | 2017
- 360
-
Evaluation of the CO2 emissions pathway from hydrogen production to fuel cell car utilisationOgnissanto, Flora / Landen, Torquil / Stevens, Alan / Emre, Mehmet / Naberezhnykh, Denis et al. | 2017
- 368
-
Robust and cost-efficient experimental design for technical tests of information and communication technology-based solutions in the automotive sectorDemestichas, Konstantinos / Adamopoulou, Evgenia / Asthenopoulos, Vasilis / Kosmides, Pavlos et al. | 2017
- 379
-
Advantage of cooperative traffic light control algorithmsBlokpoel, Robbin / Niebel, Wolfgang et al. | 2017
- 387
-
Speed prediction from mobile sensors using cellular phone-based traffic dataBasyoni, Yarah / Abbas, Hazem M. / Talaat, Hoda / El Dimeery, Ibrahim et al. | 2017
- 397
-
Open transport data for maximising reuse in multimodal route planners: a study in FlandersColpaert, Pieter / Van Compernolle, Mathias / Walravens, Nils / Mechant, Peter / Adriaenssens, Jan / Ongenae, Femke / Verborgh, Ruben / Mannens, Erik et al. | 2017
- 403
-
Public service approach to car-sharing in mid-sized towns: the example of Belfort (France)Röhr, Thomas / Rovigo, Marc et al. | 2017
- 411
-
Context-sensitive, first-principles approach to bicycle speed estimationTengattini, Simone / Bigazzi, Alexander York et al. | 2017
- 417
-
Traffic light control using deep policy‐gradient and value‐function‐based reinforcement learningMousavi, Seyed Sajad / Schukat, Michael / Howley, Enda et al. | 2017
- 424
-
Road network abstraction approach for traffic analysis: framework and numerical analysisZhu, Lei / Chiu, Yi-Chang / Chen, Yuche et al. | 2017
- 431
-
Driving risk status prediction using Bayesian networks and logistic regressionYan, Lixin / Huang, Zhen / Zhang, Yishi / Zhang, Liyan / Zhu, Dunyao / Ran, Bin et al. | 2017