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ECO-DRIVING STUDY ON TRUCKS ALONG A SIGNALIZED ARTERIAL WITH SIGNIFICANT FREIGHT TRAFFIC
| Title: | ECO-DRIVING STUDY ON TRUCKS ALONG A SIGNALIZED ARTERIAL WITH SIGNIFICANT FREIGHT TRAFFIC. |
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| Name(s): |
Xiao, Xiao, author Zhang, Yunlong Freight Mobility Research Institute |
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| Type of Resource: | text | |
| Genre: | Report | |
| Date Created: | 2018 | |
| Date Issued: | 2018 | |
| Publisher: | Florida Atlantic University | |
| Place of Publication: | Boca Raton, FL | |
| Physical Form: | application/pdf | |
| Extent: | 55 P. | |
| Language(s): | English | |
| Summary: | The project starts from a literature review of the topics from these aspects: the studies of emission models, the eco-driving applications for heavy-duty vehicles (Trucks), Eco-driving and signal control, the benefits from CAVs and Simulation using MOVES and VISSIM. The research on Multiclass/heterogeneous traffic modeling is also reviewed. To define the problem, the research starts with the analysis of the influence the truck percentage has on the individual signalized intersection and on a coordinated signal corridor. The simulation results show the high percentage of heavy-duty vehicles in traffic may significantly degrade the signal control based on the concept of delay optimization mainly considering passenger cars. To solve the problem, an eco-driving strategy for freight mobility control at signalized intersections is introduced. It is by optimizing the travel time while maintaining optimal fuel consumptions and emissions. A two-level dynamic optimization is formulated. An emission weighted optimization is used to simulate vehicles passing the intersection with balanced travel time and emissions savings and compared to a baseline simulation without eco-driving consideration. A jerk penalty is added to ensure safety and comfort. Heavy-Duty Vehicles (HDVs) are the focus of this modeling effort. The emission term in the optimization used an instantaneous speed-acceleration based microscopic fuel consumption models and the results were validated by EPA's MOtor Vehicle Emission Simulator (MOVES) model. The results from this study showed that the weighting factor of the emission term in the objective function reaches an optimal at 0.5. Generally, the proposed method provided dynamic trajectories with slightly longer travel time than the baseline but reduce the emission at about 4% for Nitrogen oxide (NOx) and 7% for carbon dioxide (CO2) for different initial conditions (different distance approaching intersection). Based on the results, an optimal weighting factor of emission term and the range of distances to apply the eco-driving strategy are recommended. A case study is performed to simulate the recommended model, with varying HDV percentages. The test results showed an overall emission reduction of 6% for NOx and 6% for CO2 according to MOVES. To show the relationship between truck percentage and discharge rate, a multiply linear regression is conducted, and the results are shown in the appendix. The data in MOVES and the emission models used are also presented in the appendix. | |
| Identifier: | FAUIR000428 (IID) | |
| Subject(s): |
Freight Research Freight and freightage Freight transportation |
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| Persistent Link to This Record: | http://purl.flvc.org/fau/fd/FAUIR000428 | |
| Use and Reproduction: | Copyright © is held by the author(s) Freight Mobility Research Institute with permission granted to Florida Atlantic University to digitize, archive and distribute this item for non-profit research and educational purposes. Any reuse of this item in excess of fair use or other copyright exemptions requires permission of the copyright holder. | |
| Host Institution: | FAU | |
| Is Part of Series: | Florida Atlantic University Digital Library Collections. |
