Development of temporal distribution of traffic emission using google traffic application program interface | |
| Author | Sunicha Sirisubtawee |
| Call Number | AIT Thesis no.EV-18-29 |
| Subject(s) | Air--Pollution--Thailand Automobiles--Motors--Exhaust gas--Thailand |
| Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science in Environmental Engineering and Management |
| Publisher | Asian Institute of Technology |
| Series Statement | Thesis ; no. EV-18-29 |
| Abstract | This study aimed at developing methodology for estimating traffic emission in Bangkok based on the real - time traffic data from the Google matrix distance Application Program Interface (API). In this study, eight categories of in - use vehicles, including per sonal car, van, pick - up, motorcycle, taxi, tuk - tuk, bus and truck were included. The section of Phahonyothin road between victory monument and Saphan Kwai intersection was selected as a study area. In this study, traffic emission was estimated by using e mission factor s that vary with vehicle speed s , number of vehicles with different categories and technologies and traffic volume estimated from average speeds of vehicles on the road. Thus, the relationships between emission factors and vehicle speeds of HC , NO x, CO and PM were developed to properly estimate emission at different vehicle speeds. The matrix between vehicle type and technology was developed to represent the actual composition of different vehicle types and technologies on the road. Traffic related parameters, i.e. speed, density, flow were used to estimate parameters in the three volume - speed relationship models which were Greenshield s , Greenberg, and Underwood model s . The Underwood model , which showed the highest coefficient of dete rmination (R 2 ) between the predicted and actual traffic volumes among the three models, was selected and used with real - time speed retrieved from the Google traffic API to predict hourly traffic volume. The vehicle volume on the road predicted by the Un derwood model during different hours of the day, along with the vehicle composition and technology distribution data , emission factors and vehicle speed on the road were used to estimate the traffic emission on the both directions of the Phahonyothin road. The emission s of HC, NO x , CO and PM on an inbound direction were 52.8, 71.5, 257.8 and 3.2 kg day - 1 , respectively, on the weekday , and 35.5, 71.5, 165.0 and 3.7 kg day - 1 , respectively , on the weekend. In addition, HC, NO x , CO and PM emission on an out boun d direction were 61.5, 86.0, 276.3 and 3.8 kg day - 1 , respectively, on the weekday , and 45.0, 86.4, 184.3 and 4.2 kg day - 1 , respectively, on the weekend. The temporal distribution was estimated to find the variation of pollutants emission in different time s of the day. The emission of each pollutant was high during daytime and low during night time which was directly related to the traffic volume . On this road, t he major contributor of HC and CO was motorcycle while the major contributor of NO x and PM was bus. |
| Year | 2018 |
| Corresponding Series Added Entry | Asian Institute of Technology. Thesis ; no. EV-18-29 |
| Type | Thesis |
| School | School of Environment, Resources, and Development (SERD) |
| Department | Department of Energy and Climate Change (Former title: Department of Energy, Environment, and Climate Change (DEECC)) |
| Academic Program/FoS | Environmental Engineering and Management (EV) |
| Chairperson(s) | Ekbordin Winijkul; |
| Examination Committee(s) | Nguyen Thi Kim Oanh;Sarawut Ninsawat; |
| Scholarship Donor(s) | Thailand ( HM Queen ); |
| Degree | Thesis (M. Sc.) - Asian Institute of Technology, 2018 |