Let's Connect
Follow Us
Watch Us
(+385) 1 2380 262
journal.prometfpz.unizg.hr
Promet - Traffic&Transportation journal

Accelerating Discoveries in Traffic Science

Accelerating Discoveries in Traffic Science

Sign In or Register Submit

PDF
PUBLISHED
25.04.2023
DOI
https://doi.org/10.7307/ptt.v35i2.38
ISSUE
2023 (Vol 35), Issue 2
LICENSE
Copyright (c) 2024 Huan Zhang, Yuxia Wang, ChuanHua Zeng
Creative Commons 4.0 logo
This work is licensed under a
Creative Commons Attribution-NonCommercial-
NoDerivatives 4.0 International License.

Dynamic Traffic Allocation Model Considering the Effects of Vehicle Emission Diffusion

Authors:Huan Zhang, Yuxia Wang, ChuanHua Zeng

Abstract

Vehicle exhausts diffuse into roadside crowd breathing zones, thereby jeopardising human health. This study applies dynamic traffic distribution theories to comprehensively consider the impact of vehicle emission diffusion. The results provide a theoretical basis for improving the diffusion of urban traffic pollution to benefit the surrounding environment for roadside crowds. Firstly, a multi-vehicle cellular transport model that is suitable for analysing dynamic traffic distribution is constructed considering the distinct emission factors of various types of vehicles. Secondly, a multi-vehicle emission model is established to consider a range of driving conditions. Then, the concept of roadside crowd exposure risk is introduced, and we describe a method for calculating the total amounts of pollutants emitted by vehicles and inhaled by roadside crowds. The impact of vehicle emission diffusion is comprehensively discussed in terms of vehicle emissions and roadside crowd exposure risk. A generalised impedance function considering the influence of vehicle exhaust emission diffusion is also established based on the weighted average of actual vehicle travel time, multi-model emissions and roadside crowd exposure risk. Finally, this generalised impedance function is integrated into the dynamic optimal user allocation model, and a dynamic traffic allocation model considering the influence of vehicle emission control is developed.

 

Keywords:vehicle emission, emission diffusion effect, generalised impedance, dynamic traffic allocation

References

  1. [1] Chen R, et al. Ambient air pollution and daily mortality in Anshan, China: A time-stratified case-crossover analysis. Science of the Total Environment. 2010 Nov 15;408(24):6086-91. DOI: 10.1016/j.scitotenv.2010.09.018.
  2. [2] Szeto WY, et al. An intersection-movement-based stochastic dynamic user optimal route choice model for assessing network performance. Transportation Research Part B: Methodological. 2015;74(2):182-217. DOI: 10.1016/j.trb.2014.12.008.
  3. [3] Li C, Anavatti SG, Ray T. A path-based solution algorithm for dynamic traffic assignment. Networks & Spatial Economics. 2017;17(3):1-20. DOI: 10.1007/s11067-017-9346-1.
  4. [4] Tajtehranifard H, et al. A path marginal cost approximation algorithm for system optimal quasi-dynamic traffic assignment. Transportation Research Part C: Emerging Technologies. 2018,88(2):91-106. DOI: 10.1016/j.trc.2018.01.002.
  5. [5] Batista SFA, Leclercq L, Menéndez M. Dynamic traffic assignment for regional networks with traffic-dependent trip lengths and regional paths. Transportation Research Part C: Emerging Technologies. 2021;127(1). DOI: 10.1016/j.trc.2021.103076.
  6. [6] Wang F, Xu W. Improved road resistance function model based on LSTM neural network. Journal of Zhejiang University: Engineering Science. 2021;55(6):7. DOI: 10.3785/j.issn.1008-973X.2021.06.006.
  7. [7] Liu L, et al. Optimal fuel consumption path planning model based on routing nodes. Journal of Chongqing University: Natural Science Edition. 2018;41(7):9. DOI: 10.11835/j.issn.1000-582X.2018.07.010.
  8. [8] Zhang X, et al. Research on equilibrium analysis of transportation network under low carbon emission constraints. Proceedings of the 13th China Intelligent Transportation Annual Conference. 2018. p. 44-53. DOI: 10.7666/d.Y2627258.
  9. [9] Zhou Y. Analysis of vehicle pollutant emission characteristics based on vehicle steady-state Loading Acceleration Simulation Method. Internal Combustion Engine and Accessories. 2020;(5):55-56. DOI: CNKI:SUN:NRPJ.0.2020-05-024.
  10. [10] Zhu F. Study on the characteristics of fine particulate matter pollution in typical indoor ambient air in Guangzhou and assessment of population exposure risk. Lanzhou Jiaotong University; 2015. DOI: 10.7666/d.D703131.
  11. [11] Daganzo CF. The cell transmission model: A Dynamic representation of highway traffic consistent with the hydrodynamic theory. Transportation Research Part B: Methodological. 1994;28(4):269-287. DOI: 10.1016/0191-2615(94)90002-7.
  12. [12] Liu H, Xiong X, Jin M, Shi L. Research on atmospheric flow and pollutant diffusion in urban street canyons. Energy and Environment. 2020;(2):61-6265. DOI: CNKI:SUN:FJNJ.0.2020-02-038.
  13. [13] Liu Z, et al. Study on the impact of geometric embedding of motor vehicles on urban street valleys. Environmental Science and Technology. 2019;42(11):208-212. DOI: 10.19672/j.cnki.1003-6504.2019.11.030.
  14. [14] Xia X, et al. Research progress on infiltration of indoor and outdoor air particulate matter. Journal of Environment and Health. 2018;35(4):6. DOI: 10.16241/j.cnki.1001-5914.2018.
  15. [15] Nguyen S, Dupius C. An efficient method for computing traffic equilibria in networks with asymmetric transportation costs. Transportation Science. 1984;(18):185-202. DOI: 10.1287/trsc.18.2.185.
  16. [16] Liu J, Wang P. Construction of road resistance model considering health loss. Transportation Science and Technology. 2020;(1):5. DOI: CNKI:SUN:SKQB.0.2020-01-020.
Show more

SPECIAL ISSUE CALL

Innovation and New Technologies in Transport and Logistics

Guest Editor: Eleonora Papadimitriou, PhD

Editors: Dario Babić, PhD; Marko Matulin, PhD; Marko Ševrović, PhD.

RECENT PAPERS

Browse through the selection of our recent research
Factors Influencing Sustained Use of Shared E-Scooter Services in Urban TaiwanImplications of Retrograde Behaviours on Visual and Cycling Behaviour of Normal CyclistsEstimating Vehicle Turn-In Rate of Expressway Rest Areas via ETC Gantry Data – An ADPC-GMM ApproachResearch on the Efficiency of Major Airports in China’s Six Major Airport Cluster: Based on Common Frontier Super-Efficiency DEA and Malmquist Method

Accelerating Discoveries in Traffic Science |
2024 © Promet - Traffic&Transportation journal