Simulation-Based Environmental Risk Analysis of Mixed Traffic Flow at Intersections
Publication: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
Volume 8, Issue 4
Abstract
Environmental pollution risk caused by urban transport emissions is becoming increasingly serious and is an urgent issue in the process of establishing sustainable transport systems. In particular, the development of accurate microscopic models about motor vehicle emissions and the quantitative evaluation of the impact of various traffic management measures on traffic emissions are crucial. This study established and calibrated a simulation for exhaust emission analysis based on high-precision onboard emission test data. Using the simulation models, this study analyzed the emissions ratios of CO, HC, and of mixed traffic (including light and heavy vehicles) at typical urban intersections. The results reveal the emission patterns of mixed traffic and show that heavy vehicles contribute to over 70% of CO, 65% of HC, and 90% of at urban intersections even though the number of heavy vehicles is merely 20% of overall traffic. The results indicate that the storage length of lanes at an intersection does not have significant effects on traffic emissions. The results provide the scientific basis for formulating effective energy-saving, emission-reducing traffic management measures and establishing a green transport system.
Get full access to this article
View all available purchase options and get full access to this article.
Data Availability Statement
All data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.
Acknowledgments
This work was supported by the Zhejiang Provincial Natural Science Foundation of China under Grant No. LGF21E080002 and by the Ministry of Education of Humanities and Social Science Project under Grant No. 19YJCZH200.
References
Bing, X., Y. Jiang, C. Zhang, Y. Zhang, and J. Lu. 2014. “Effects of intersection lane configuration on traffic emissions.” Adv. Transp. Stud. 32 (Apr): 23–36.
Choudhary, A., and S. Gokhale. 2016. “Urban real-world driving traffic emissions during interruption and congestion.” Transp. Res. Part D Transp. Environ. 43 (12): 59–70. https://doi.org/10.1016/j.trd.2015.12.006.
Coelho, M. C., T. Fontes, J. M. Bandeira, S. R. Pereira, O. Tchepel, D. Dias, E. Sa, J. H. Amorim, and C. Borrego. 2014. “Assessment of potential improvements on regional air quality modelling related with implementation of a detailed methodology for traffic emission estimation.” Sci. Total Environ. 470 (Sep): 127–137. https://doi.org/10.1016/j.scitotenv.2013.09.042.
Corriere, F., G. Rizzo, and M. Guerrieri. 2013. “Estimation of air pollutant emissions in ‘turbo’ and in conventional round-abouts.” Appl. Mech. Mater. 394 (85): 597–604. https://doi.org/10.4028/www.scientific.net/AMM.394.597.
de Dios Ortuzar, J. 2021. “Future transportation: Sustainability, complexity and individualization of choices.” Commun. Transp. Res. 1 (78): 100010. https://doi.org/10.1016/j.commtr.2021.100010.
Fan, J., K. Gao, Y. Xing, and J. Lu. 2019. “Evaluating the effects of one-way traffic management on different vehicle exhaust emissions using an integrated approach.” J. Adv. Transp. 2019: 6248796.
Gao, K., L. Sun, Y. Yang, F. Meng, and X. Qu. 2021a. “Cumulative prospect theory coupled with multi-attribute decision making for modeling travel behavior.” Transp. Res. Part A Policy Pract. 148 (Jun): 1–21. https://doi.org/10.1016/j.tra.2021.03.025.
Gao, K., Y. Yang, and X. Qu. 2021b. “Diverging effects of subjective prospect values of uncertain time and money.” Commun. Transp. Res. 1 (Dec): 100007. https://doi.org/10.1016/j.commtr.2021.100007.
Gao, K., Y. Yang, L. Sun, and X. Qu. 2020. “Revealing psychological inertia in mode shift behavior and its quantitative in-fluences on commuting trips.” Transp. Res. Part F Traffic Psychol. Behav. 71 (May): 272–287. https://doi.org/10.1016/j.trf.2020.04.006.
Han, K., H. Liu, V. V. Gayah, T. L. Friesz, and T. Yao. 2016. “A robust optimization approach for dynamic traffic signal control with emission considerations.” Transp. Res. Part C Emerging Technol. 70 (Sep): 3–26. https://doi.org/10.1016/j.trc.2015.04.001.
Huang, Z., C. Hao, and J. Wang. 2017. “Analysis of vehicle pollutant emissions—Part II of China motor vehicle environmental management annual Report 2017.” [In Chinese.] Environ. Prot. 13 (15): 43–48.
Le, X., X. Lin, and J. Yang. 2018. “Assessment of social benefits of China’s urban small car license restriction policy.” [In Chinese.] Int. Urban Plann. 33 (1): 86–94. https://doi.org/10.22217/upi.2016.017.
Lee, F. 1983. “Vehicle emissions at intersections.” Ph.D. dissertation, Center for Transportation Research, Univ. of Texas at Austin.
Lu, C., and C. Liu. 2021. “Ecological control strategy for cooperative autonomous vehicle in mixed traffic considering linear stability.” J. Intell. Connected Veh. 4 (3): 115–124. https://doi.org/10.1108/JICV-08-2021-0012.
Ma, D., J. Xiao, X. Song, X. Ma, and S. Jin. 2021. “A back-pressure-based model with fixed phase sequences for traffic signal optimization under oversaturated networks.” IEEE Trans. Intell. Transp. Syst. 22 (9): 5577–5588. https://doi.org/10.1109/TITS.2020.2987917.
Ma, X., W. Lei, I. Andréasson, and H. Chen. 2012. “An evaluation of microscopic emission models for traffic pollution simulation using on-board measurement.” Environ. Model. Assess. 17 (4): 375–387. https://doi.org/10.1007/s10666-011-9296-9.
Peled, I., K. Lee, Y. Jiang, J. Dauwels, and F. C. Pereira. 2021. “On the quality requirements of demand prediction for dynamic public transport.” Commun. Transp. Res. 1 (21): 100008. https://doi.org/10.1016/j.commtr.2021.100008.
Qi, J., S. Wang, and H. Psaraftis. 2021a. “Bi-level optimization model applications in managing air emissions from ships: A review.” Commun. Transp. Res. 1 (Dec): 100020. https://doi.org/10.1016/j.commtr.2021.100020.
Qi, W., B. Shen, Y. Yang, and X. Qu. 2021b. “Modeling drivers’ scrambling behavior in China: An application of theory of planned behavior.” Travel Behav. Soc. 24 (Jul): 164–171. https://doi.org/10.1016/j.tbs.2021.03.008.
Tang, T., G. Zou, J. Lu, Y. Zhang, and W. Zhang. 2016. “Study on the impact of left-turn lane design on traffic emission.” [In Chinese.] Mod. Transp. Technol. 13 (5): 64–67. https://doi.org/10.3969/j.issn.1672-9889.2016.05.018.
Vasconcelos, L., A. B. Silva, Á. M. Seco, P. Fernandes, and M. C. Coelho. 2014. “Turboroundabouts: Multicriterion assessment of intersection capacity, safety, and emissions.” Transp. Res. Rec. 2402 (1): 28–37. https://doi.org/10.3141/2402-04.
Vrbanić, F., M. Miletić, L. Tišljarić, and E. Ivanjko. 2022. “Influence of variable speed limit control on fuel and electric energy consumption, and exhaust gas emissions in mixed traffic flows.” Sustainability 14 (2): 932. https://doi.org/10.3390/su14020932.
Wang, S., H. N. Psaraftis, and J. Qi. 2021a. “Paradox of international maritime organization’s carbon intensity indicator.” Commun. Transp. Res. 1 (Dec): 100005. https://doi.org/10.1016/j.commtr.2021.100005.
Wang, T., Y. Du, D. Fang, and Z. Li. 2020. “Berth allocation and quay crane assignment for the trade-off between service efficiency and operating cost considering carbon emission taxation.” Transp. Sci. 54 (5): 1307–1331. https://doi.org/10.1287/trsc.2019.0946.
Wang, Y., J. Wu, K. Che, and P. Liu. 2021b. “Are shared electric scooters energy efficient?” Commun. Transp. Res. 1 (Dec): 100022. https://doi.org/10.1016/j.commtr.2021.100022.
Wang, Y., Y. Yang, J. Wang, M. Douglas, and D. Su. 2021c. “Examining the influence of social norms on orderly parking behavior of lockless bike-sharing users.” Transp. Res. Part A Policy Pract. 147 (May): 284–296. https://doi.org/10.1016/j.tra.2021.03.022.
Wang, Z., J. Wang, and D. He. 2012. “Transit policies and potential carbon dioxide emission impacts: Some insights from China’s recent transit priority policies.” Transp. Res. Rec. 2287 (1): 98–104. https://doi.org/10.3141/2287-12.
Xu, Y., Y. Zheng, and Y. Yang. 2021. “On the movement simulations of electric vehicles: A behavioural model-based approach.” Appl. Energy 283 (Feb): 116356. https://doi.org/10.1016/j.apenergy.2020.116356.
Zhang, L., Z. Zeng, and K. Gao. 2022. “A bi-level optimization framework for charging station design problem considering heterogeneous charging modes.” J. Intell. Connected Veh. 5 (1): 8–16. https://doi.org/10.1108/JICV-07-2021-0009.
Zhou, X., S. Tanvir, H. Lei, J. Taylor, B. Liu, N. M. Rouphail, and H. C. Frey. 2015. “Integrating a simplified emission estimation model and mesoscopic dynamic traffic simulator to efficiently evaluate emission impacts of traffic management strategies.” Transp. Res. Part D Transp. Environ. 37 (Apr): 123–136. https://doi.org/10.1016/j.trd.2015.04.013.
Information & Authors
Information
Published In
Copyright
© 2022 American Society of Civil Engineers.
History
Received: Apr 8, 2022
Accepted: May 10, 2022
Published online: Jul 26, 2022
Published in print: Dec 1, 2022
Discussion open until: Dec 26, 2022
ASCE Technical Topics:
- Air pollution
- Disaster risk management
- Emissions
- Engineering fundamentals
- Environmental engineering
- Highway and road management
- Highway transportation
- Highways and roads
- Infrastructure
- Intersections
- Models (by type)
- Pollution
- Risk management
- Traffic analysis
- Traffic engineering
- Traffic flow
- Traffic management
- Traffic models
- Transportation engineering
- Urban and regional development
- Urban areas
Authors
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.