Analyzing Impacts of Individuals’ Travel Behavior on Air Pollution: Integration of a Dynamic Activity-Based Travel Demand Model with Dynamic Traffic Assignment and Emission Models
One of the paramount capabilities of microsimulation activity-based models is assessing the impacts of transportation policies on air quality, which has been receiving a great deal of attention due to its remarkable effect on peoples’ health. Fine-resolution results of activity-based models can provide precise input data for modern microscopic emission and human exposure models. This paper describes the development of a comprehensive framework for estimating mobile source air pollutions through integration of an activity-based model (ABM) with a mesoscopic dynamic traffic assignment (DTA) module and a microscopic emission simulator. Accordingly, the microsimulation model, Agent-based Dynamic Activity Planning and Travel Scheduling (ADAPTS), is extended with an agent-based DTA model, which allows for dynamic interaction between the demand model and network simulator to consider real-time activity scheduling and en-route travel replanning. The proposed DTA model is capable of simulating trip makers’ route choice behavior, vehicles’ characteristics, such as instantaneous speed and acceleration, as well as links attributes including traffic volumes and average travel times. Afterwards, the U.S. Environmental Protection Agency's (EPA’s) new mobile source emission model, Motor Vehicle Emission Simulator (MOVES), is utilized to estimate mobile source emissions produced by passenger cars. It is required to conduct a pre-processing step to provide required input data for MOVES, such as vehicles operating mode distributions and drive schedules. Capability of this framework in estimating emissions inventories is scrutinized through two case studies in county level and project level. In county-level analysis, the potential of this approach has been represented through estimation of pollutants inventories by different emission processes, variation of emissions by time of day, and contribution of different trip purposes to air pollution emissions. In addition, in order to manifest the significant role of DTA component in this chain, a project-level analysis is conducted to evaluate the effect of a local change in network configuration on drivers’ behavior as well as air quality measures, which is specifically a proper approach for hot spot analyses.
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Supplemental Notes:
- This paper was sponsored by TRB committee ADC20 Standing Committee on Transportation and Air Quality.
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Corporate Authors:
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Authors:
- Shabanpour Anbarani, Ramin
- Javanmardi, Mahmoud
- Fasihozaman Langerudi, Mehran
- Mohammadian, Abolfazl (Kouros)
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Conference:
- Transportation Research Board 95th Annual Meeting
- Location: Washington DC, United States
- Date: 2016-1-10 to 2016-1-14
- Date: 2016
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; Maps; Photos; References; Tables;
- Pagination: 17p
- Monograph Title: TRB 95th Annual Meeting Compendium of Papers
Subject/Index Terms
- TRT Terms: Activity choices; Air quality; Case studies; Dynamic traffic assignment; Microsimulation; Pollutants; Travel behavior; Travel demand
- Identifier Terms: Motor Vehicle Emission Simulator (MOVES)
- Subject Areas: Environment; Highways; Planning and Forecasting; I15: Environment; I72: Traffic and Transport Planning;
Filing Info
- Accession Number: 01589901
- Record Type: Publication
- Report/Paper Numbers: 16-5006
- Files: TRIS, TRB, ATRI
- Created Date: Feb 8 2016 10:32AM