Back to Search
Start Over
An Integrated Turning Movements Estimation to Petri Net Based Road Traffic Modeling.
- Source :
- Journal of Sensor & Actuator Networks; Sep2019, Vol. 8 Issue 3, p49-49, 1p
- Publication Year :
- 2019
-
Abstract
- The tremendous increase in the urban population highlights the need for more efficient transport systems and techniques to alleviate the increasing number of the resulting traffic-associated problems. Modeling and predicting road traffic flow are a critical part of intelligent transport systems (ITSs). Therefore, their accuracy and efficiency have a direct impact on the overall functioning. In this scope, a new approach for predicting the road traffic flow is proposed that combines the Petri nets model with a dynamic estimation of intersection turning movement counts to ensure a more accurate assessment of its performance. Thus, this manuscript extends our work by introducing a new feature, namely turning movement counts, to attain a better prediction of road traffic flow. A simulation study is conducted to get a better understanding of how predictive models perform in the context of estimating turning movements. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 22242708
- Volume :
- 8
- Issue :
- 3
- Database :
- Complementary Index
- Journal :
- Journal of Sensor & Actuator Networks
- Publication Type :
- Academic Journal
- Accession number :
- 138997429
- Full Text :
- https://doi.org/10.3390/jsan8030049