Chapter
Jun 13, 2023

Evaluating Connected and Automated Vehicles in Co-Simulation Environment of Traffic Microsimulation and Vehicle Dynamics

Publication: International Conference on Transportation and Development 2023

ABSTRACT

Connected and automated vehicles (CAVs) have the potential to improve many aspects of the current transportation systems such as safety, mobility, and energy efficiency. In order to evaluate the benefits and impacts of a CAV, the CAV control algorithm is typically implemented on vehicles simulated in a traffic microsimulation environment. However, traffic microsimulation usually lacks detailed vehicle and powertrain dynamics, making it challenging to fully understand how a CAV control algorithm will perform and respond on an actual vehicle. Whether the same benefits measured in the simulation will also be observed in real-world remains an open question. One potential approach to fill in this gap is to conduct a co-simulation of traffic microsimulation with detailed vehicle and powertrain dynamics models, often developed in MATLAB Simulink. However, current microsimulation tools such as VISSIM and SUMO do not have a ready-to-use interface for co-simulation with vehicle dynamics and Simulink. Also, even if such an interface exists, it will be tool-specific, making it challenging to shift from one tool to another or test CAV controls in different tools. There are needs for tool-agnostic co-simulation as different microsimulation tools have their pros and cons, and researchers often need to use different tools based on the purposes of the simulation, project needs, and applications. In this work, Flexible Interface for X-in-the-loop Simulation (FIXS) is developed that can support the co-simulation of microsimulation, CAV control algorithm, and vehicle dynamics model in Simulink. Enabled by the FIXS, the benefit and performance of a CAV control algorithm can be better understood with the consideration of vehicle responses and dynamics. The connection to VISSIM and SUMO is handled internally by the interface, and users can easily switch tools by changing a configuration file. The co-simulation capability is demonstrated for a VISSIM eco-approach and departure CAV scenario and a SUMO cooperative merging scenario for both a passenger CAV and a class 8 heavy-duty connected and automated trucks.

Get full access to this article

View all available purchase options and get full access to this chapter.

REFERENCES

Alvarez Lopez, P., Behrisch, M., Bieker-Walz, L., Erdmann, J., Flötteröd, Y.-P., Hilbrich, R., Lücken, L., Rummel, J., Wagner, P., and Wießner, E. (2018). Microscopic Traffic Simulation using SUMO. IEEE.
FHWA (Federal Highway Administration), ed. (2022). Cooperative Driving Automation Transportation Systems Management and Operations Strategies and Use Cases - An Overview.
Jiang, H., Hu, J., An, S., Wang, M., and Park, B. B. (2017). “Eco approaching at an isolated signalized intersection under partially connected and automated vehicles environment.” Transportation Research Part C: Emerging Technologies, 79, 290–307.
Jin, Q., Wu, G., Boriboonsomsin, K., and Barth, M. J. (2016). “Power-Based Optimal Longitudinal Control for a Connected Eco-Driving System.” IEEE Transactions on Intelligent Transportation Systems, 17(10), 2900–2910.
Li, W., Ban, X. J., Zheng, J., Liu, H. X., Gong, C., and Li, Y. (2020). “Real-Time Movement-Based Traffic Volume Prediction at Signalized Intersections.” Journal of Transportation Engineering, Part A: Systems, American Society of Civil Engineers, 146(8), 04020081.
PTV Vision. (2018). VISSIM 11 User Manual. Karlsruhe, Germany.
Sciarretta, A., and Vahidi, A. (2019). Energy-Efficient Driving of Road Vehicles. Lecture Notes in Intelligent Transportation and Infrastructure, Springer International Publishing, Cham.
Shao, Y., Cook, A., Perry, N., Deter, D., and Wang, C. R. (2022a). “Real-Sim: A Multi-resolution X-in-the-loop Experimental Approach for Testing Connected and Automated Vehicles.” Proceedings of the American Control Conference, Institute of Electrical and Electronics Engineers Inc., 2022-June, 3365.
Shao, Y., Deter, D., Cook, A., Wang, C., Thompson, B., and Perry, N. (2022b). “Real-Sim Interface: Enabling Multi-resolution Simulation and X-in-the-Loop Development for Connected and Automated Vehicles.” SAE International Journal of Connected and Automated Vehicles, SAE International, 5(4).
Shao, Y., and Rios-Torres, J. (2020). “Traffic Prediction for Merging Coordination Control in Mixed Traffic Scenarios.” ASME 2020 Dynamic Systems and Control Conference, DSCC 2020-3219.
Shao, Y., and Sun, Z. (2020). “Vehicle Speed and Gear Position Co-optimization for Energy Efficient Connected and Autonomous Vehicles.” IEEE Transactions on Control Systems Technology, Institute of Electrical and Electronics Engineers (IEEE), 29(4), 1721–1732.
Shao, Y., and Sun, Z. (2021a). “Eco-Approach With Traffic Prediction and Experimental Validation for Connected and Autonomous Vehicles.” IEEE Transactions on Intelligent Transportation Systems, Institute of Electrical and Electronics Engineers (IEEE), 22(3), 1562–1572.
Shao, Y., and Sun, Z. (2021b). “Energy-Efficient Connected and Automated Vehicles: Real-Time Traffic Prediction-Enabled Co-Optimization of Vehicle Motion and Powertrain Operation.” IEEE Vehicular Technology Magazine, Institute of Electrical and Electronics Engineers Inc., 16(3), 47–56.
Shladover, S. E. (2021). “Opportunities and Challenges in Cooperative Road Vehicle Automation.” IEEE Open Journal of Intelligent Transportation Systems, Institute of Electrical and Electronics Engineers (IEEE), 2, 216–224.
Taiebat, M., Brown, A. L., Safford, H. R., Qu, S., and Xu, M. (2018). “A review on energy, environmental, and sustainability implications of connected and automated vehicles.” Environmental Science and Technology, American Chemical Society, 52(20), 11449–11465.
Tian, D., Wu, G., Boriboonsomsin, K., and Barth, M. J. (2018). “Performance Measurement Evaluation Framework and Co-Benefit\/Tradeoff Analysis for Connected and Automated Vehicles (CAV) Applications: A Survey.” IEEE Intelligent Transportation Systems Magazine, Institute of Electrical and Electronics Engineers, 10(3), 110–122.
Yang, Z., Feng, Y., and Liu, H. X. (2021). “A cooperative driving framework for urban arterials in mixed traffic conditions.” Transportation Research Part C: Emerging Technologies, Pergamon, 124, 102918.
Yuan, J., LaClair, T., Wang, C. R., Lim, H., Li, W., Wang, H., and Shao, Y. (2023). “Integration of Distributed Queue-Aware Eco-Approach Strategies (DQAEAS) and Bilinear Signal Control Algorithm under Mixed Connected and Automated Traffic Environment on a Signalized Multi-Lane Corridor.” Transportation Research Board 102nd Annual Meeting.

Information & Authors

Information

Published In

Go to International Conference on Transportation and Development 2023
International Conference on Transportation and Development 2023
Pages: 207 - 217

History

Published online: Jun 13, 2023

Permissions

Request permissions for this article.

ASCE Technical Topics:

Authors

Affiliations

Yunli Shao, Ph.D. [email protected]
1Buildings and Transportation Science Division, Oak Ridge National Laboratory, Oak Ridge, TN. Email: [email protected]
Paul Chambon [email protected]
2Buildings and Transportation Science Division, Oak Ridge National Laboratory, Oak Ridge, TN. Email: [email protected]
3Buildings and Transportation Science Division, Oak Ridge National Laboratory, Oak Ridge, TN. Email: [email protected]
Chieh (Ross) Wang, Ph.D., A.M.ASCE [email protected]
4Buildings and Transportation Science Division, Oak Ridge National Laboratory, Oak Ridge, TN. Email: [email protected]

Metrics & Citations

Metrics

Citations

Download citation

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

View Options

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Paper
$35.00
Add to cart
Buy E-book
$92.00
Add to cart

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Paper
$35.00
Add to cart
Buy E-book
$92.00
Add to cart

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share with email

Email a colleague

Share