Evaluating effects of traffic and vehicle characteristics on vehicular emissions near traffic intersections |
| |
| Authors: | Suresh Pandian Sharad Gokhale Aloke Kumar Ghoshal |
| |
| Institution: | 1. Center for the Environment, Indian Institute of Technology Guwahati, Guwahati, India;2. Department of Civil Engineering, Indian Institute of Technology Guwahati, Guwahati, Assam 781039, India;3. Department of Chemical Engineering, Indian Institute of Technology Guwahati, Guwahati, India;1. School of Sustainable Engineering and the Built Environment, Arizona State University, USA;2. Department of Civil, Construction and Environmental Engineering, North Carolina State University, USA;3. Department of Civil and Environmental Engineering, University of Utah, USA;4. Institute for Transportation Research and Education (ITRE), Department of Civil, Construction and Environmental Engineering, North Carolina State University, USA;1. CSIR-Indian Institute of Petroleum, Dehradun, Uttrakhand 248005, India;2. Sardar Vallabhbhai National Institute of Technology, Ichchhanath, Surat, Gujrat 395 007, India;1. Department of Civil and Environmental Engineering, Faculty of Engineering and Physical Sciences (FEPS), University of Surrey, Guildford GU2 7XH, United Kingdom;2. Environmental Flow (EnFlo) Research Centre, FEPS, University of Surrey, Guildford GU2 7XH, United Kingdom |
| |
| Abstract: | Urban air quality is generally poor at traffic intersections due to variations in vehicles’ speeds as they approach and leave. This paper examines the effect of traffic, vehicle and road characteristics on vehicular emissions with a view to understand a link between emissions and the most likely influencing and measurable characteristics. It demonstrates the relationships of traffic, vehicle and intersection characteristics with vehicular exhaust emissions and reviews the traffic flow and emission models. Most studies have found that vehicular exhaust emissions near traffic intersections are largely dependent on fleet speed, deceleration speed, queuing time in idle mode with a red signal time, acceleration speed, queue length, traffic-flow rate and ambient conditions. The vehicular composition also affects emissions. These parameters can be quantified and incorporated into the emission models. There is no validated methodology to quantify some non-measurable parameters such as driving behaviour, pedestrian activity, and road conditions |
| |
| Keywords: | |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
