Model for Predicting Roadside Concentrations of Traffic Pollutants

Tsinghua Science and Technology

Volumn 12, Issue 2, 2007, Pages 178-183

  Yang, Zhongzhen ^a   Miao, Guoqiang ^a   Wang, Lu ^a  

^a DALIAN MARITIME UNIVERSITY   (China)

Author keywords

artificial neural network; pollutant concentration; traffic flow; virtual loop

Indexed keywords

TRAFFIC FLOW; TRAFFIC POLLUTANTS;

CARBON DIOXIDE; IMPURITIES; MATHEMATICAL MODELS; MODEL STRUCTURES; NEURAL NETWORKS; ROADS AND STREETS; TRAFFIC CONGESTION;

AIR POLLUTION;

EID: 34447503873     PISSN: 10070214     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1007-0214(07)70025-1     Document Type: Article

References (11)

1. Stead D. Relationships between transport emissions and travel patterns in Britain. Transport Policy 6 4 (1999) 247-258
2. Wang W., Chen X., and Lu J. Study on Sustainable Development Theory of Urban Transportation System (2003), Science Press, Beijing (in Chinese)
3. Wang W., Yu L., Fei W., and Yang F. Review of emission dispersion models based on Gaussian line-source model. Environmental Protection in Transportation 25 5 (2005) 7-10 (in Chinese)
4. Drozdowicz B., Benz S., Santa Cruz A., and Scenna N. A neural network based model for the analysis of carbon monoxide contamination in the urban area of Rosario. Fifth International Conference on Air Pollution Modelling, Monitoring and Management. Air Pollution V (1997), Computational Mechanics Publications, Boston 677-684
5. Moseholm L., Silva J., and Larson T. Forecasting carbon monoxide concentration near a sheltered intersection using video traffic surveillance and neural network. Transportation Research D 1 1 (1996) 15-28
6. 2 concentrations in urban air in London. Atmosphere Environment 33 (1999) 709-719
7. Nagendra S., and Khare M. Line source emission modeling. Atmospheric Environment 36 (2002) 2083-2098
8. Nagendra S., and Khare M. Artificial neural network based line source models for vehicular exhaust emission predictions of an urban roadway. Transportation Research Part D 9 3 (2004) 199-208
9. Feng T., Yang Z., Zhang J., and Fujiwara A. Modeling pollutant concentration based on artificial neural network. Proceedings of the Fifth International Conference on Traffic and Transportation Studies (2006), Science Press, Beijing 299-309
10. Lai A., and Yung N. Vehicle-type identification through automated virtual loop assignment and block-based direction biased motion estimation. IEEE Transactions on Intelligent Transportation Systems 1 2 (2000) 86-97
11. Zhang S., Sheng Y., Li B., and Zhu Y. Method for vehicle speed detection based on virtual loop motion estimation. Journal of Huazhong University of Science and Technology (Nature Science Edition) 32 1 (2004) 76-78 (in Chinese)