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Articles

MOVES-Matrix for high-performance on-road energy and running emission rate modeling applications

, , ORCID Icon, , &
Pages 1415-1428 | Received 29 Jan 2019, Accepted 18 Jun 2019, Published online: 28 Oct 2019

Figures & data

Figure 1. Data processing overview of MOVES.

Figure 1. Data processing overview of MOVES.

Figure 2. Definition of running operating mode bin and example CO2 emission rates for passenger trucks (model year 2016).

Figure 2. Definition of running operating mode bin and example CO2 emission rates for passenger trucks (model year 2016).

Figure 3. MOVES-Matrix conceptual flow.

Figure 3. MOVES-Matrix conceptual flow.

Table 1. Content of input file for one MOVES run.

Table 2. Time for generating MOVES-Matrix*.

Table 3. Key fields to identify emission rate in MOVES-Matrix.

Figure 4. MOVES vs. MOVES-Matrix working mechanism.

Figure 4. MOVES vs. MOVES-Matrix working mechanism.

Table 4. Iteration scenarios for test runs.

Figure 5. Emission results (Grams per Mile) of (a) HC, (b) CO, (c) NOx, (d) PM2.5 and (e) CO2 from MOVES and MOVES-Matrix.

Figure 5. Emission results (Grams per Mile) of (a) HC, (b) CO, (c) NOx, (d) PM2.5 and (e) CO2 from MOVES and MOVES-Matrix.

Table 5. Model run time comparison.

Figure 6. Examples of MOVES-Matrix applications: (a) Connection with Atlanta TDM; (b) Connection with traffic microsimulation; (c) Vehicle emission calculator in smartphone; and (d) Dispersion modeling with AERMOD.

Figure 6. Examples of MOVES-Matrix applications: (a) Connection with Atlanta TDM; (b) Connection with traffic microsimulation; (c) Vehicle emission calculator in smartphone; and (d) Dispersion modeling with AERMOD.

Figure 7. Counties calculated in MOVES-Matrix.

Figure 7. Counties calculated in MOVES-Matrix.

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