Study on road section environmental traffic capacity model and algorithm under double constraints. (October 2016)
- Record Type:
- Journal Article
- Title:
- Study on road section environmental traffic capacity model and algorithm under double constraints. (October 2016)
- Main Title:
- Study on road section environmental traffic capacity model and algorithm under double constraints
- Authors:
- Wang, Xiaoxia
Fu, Hui
Lu, Jianfeng
Han, Shuang - Abstract:
- Highlights: First, influence factor of road section environmental traffic capacity was analyzed. Second, section environmental traffic capacity optimization model was established. Third, optimization model was solved by using improved augmented Lagrange function. Fourth, case study showed that optimization model and solution method were effective. Abstract: The coordinated development of city traffic and environment is a key research content in traffic field in twenty-first Century. Among them, road section environmental traffic capacity analysis is one of the important research issues. It can provide solid theoretical basis and reliable data support for road network traffic optimization control, road traffic pollution control and city traffic structure optimization. This paper analyzed main factors which impacted environmental traffic capacity from two aspects, including road capacity constraint conditions and road traffic pollution control constraint conditions. Then, road section environmental traffic capacity optimization model was established, and method of improved augmented Lagrange function was used to solve the model. Case study showed that, (1) The environmental traffic capacity optimal model and methodology were effective; (2) In order to ensure road section environmental traffic capacity greater than (or equal to) road capacity, some measures could be taken including adjusting motor vehicle type proportion as well as improving emission characteristics of motorHighlights: First, influence factor of road section environmental traffic capacity was analyzed. Second, section environmental traffic capacity optimization model was established. Third, optimization model was solved by using improved augmented Lagrange function. Fourth, case study showed that optimization model and solution method were effective. Abstract: The coordinated development of city traffic and environment is a key research content in traffic field in twenty-first Century. Among them, road section environmental traffic capacity analysis is one of the important research issues. It can provide solid theoretical basis and reliable data support for road network traffic optimization control, road traffic pollution control and city traffic structure optimization. This paper analyzed main factors which impacted environmental traffic capacity from two aspects, including road capacity constraint conditions and road traffic pollution control constraint conditions. Then, road section environmental traffic capacity optimization model was established, and method of improved augmented Lagrange function was used to solve the model. Case study showed that, (1) The environmental traffic capacity optimal model and methodology were effective; (2) In order to ensure road section environmental traffic capacity greater than (or equal to) road capacity, some measures could be taken including adjusting motor vehicle type proportion as well as improving emission characteristics of motor vehicles exhausting pollutants. … (more)
- Is Part Of:
- Transportation research. Volume 48(2016)
- Journal:
- Transportation research
- Issue:
- Volume 48(2016)
- Issue Display:
- Volume 48, Issue 2016 (2016)
- Year:
- 2016
- Volume:
- 48
- Issue:
- 2016
- Issue Sort Value:
- 2016-0048-2016-0000
- Page Start:
- 14
- Page End:
- 19
- Publication Date:
- 2016-10
- Subjects:
- Traffic pollution control -- Road section environmental traffic capacity -- Traffic capacity model -- Augmented Lagrange function
Transportation -- Research -- Periodicals
Transportation -- Environmental aspects -- Periodicals
354.76 - Journal URLs:
- http://www.sciencedirect.com/science/journal/13619209 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.trd.2016.07.005 ↗
- Languages:
- English
- ISSNs:
- 1361-9209
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 9026.274630
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 1133.xml