Characteristics Analysis and Equilibrium Optimization of Mixed Traffic Flow considering Connected Automated and Human-Driven Vehicles
Considering the impact of informatization condition, vehicles on the road network are divided into connected automated vehicles (CAVs) and human-driven vehicles (HDVs), which follow the principle of system optimization and stochastic user equilibrium, respectively. Taking the road network reserve ca...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2022/3866042 |
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| _version_ | 1832552917772533760 |
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| author | Zhaoming Zhou Jianbo Yuan Shengmin Zhou Qiong Long Jianrong Cai Lei Zhang |
| author_facet | Zhaoming Zhou Jianbo Yuan Shengmin Zhou Qiong Long Jianrong Cai Lei Zhang |
| author_sort | Zhaoming Zhou |
| collection | DOAJ |
| description | Considering the impact of informatization condition, vehicles on the road network are divided into connected automated vehicles (CAVs) and human-driven vehicles (HDVs), which follow the principle of system optimization and stochastic user equilibrium, respectively. Taking the road network reserve capacity maximization model under the condition of road capacity constraint as the upper-level programming and the traffic assignment model under heterogeneous flow environment as the lower level programming, then a bilevel programming model is constructed. Among them, the nonuniform demand growth multiplier is adopted for each OD pair to reflect the inconsistency of traffic demand structure growth, and the calculation of link capacity is related to the market penetration of CAVs. The incremental method, method of successive averages, and simulated annealing algorithm are used to solve the model, and the effects of different market penetration on road network capacity, travel time, and saturation are analyzed through a numerical example. The relevant data under different weights are normalized and the optimal deployment scheme of CAVs and HDVs in different periods is obtained by comprehensive evaluation. Meanwhile, the mixed equilibrium flow state is explored under the premise of given market penetration to verify the feasibility of the model and algorithm. |
| format | Article |
| id | doaj-art-61fb716a34374adbaa59236ea20732cb |
| institution | Kabale University |
| issn | 2042-3195 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-61fb716a34374adbaa59236ea20732cb2025-02-03T05:57:30ZengWileyJournal of Advanced Transportation2042-31952022-01-01202210.1155/2022/3866042Characteristics Analysis and Equilibrium Optimization of Mixed Traffic Flow considering Connected Automated and Human-Driven VehiclesZhaoming Zhou0Jianbo Yuan1Shengmin Zhou2Qiong Long3Jianrong Cai4Lei Zhang5School of Traffic and Transportation EngineeringSchool of Traffic and Transportation EngineeringXiangtan Technology Research Center of Urban Planning InformationCollege of Civil EngineeringCollege of Civil EngineeringCollege of Civil EngineeringConsidering the impact of informatization condition, vehicles on the road network are divided into connected automated vehicles (CAVs) and human-driven vehicles (HDVs), which follow the principle of system optimization and stochastic user equilibrium, respectively. Taking the road network reserve capacity maximization model under the condition of road capacity constraint as the upper-level programming and the traffic assignment model under heterogeneous flow environment as the lower level programming, then a bilevel programming model is constructed. Among them, the nonuniform demand growth multiplier is adopted for each OD pair to reflect the inconsistency of traffic demand structure growth, and the calculation of link capacity is related to the market penetration of CAVs. The incremental method, method of successive averages, and simulated annealing algorithm are used to solve the model, and the effects of different market penetration on road network capacity, travel time, and saturation are analyzed through a numerical example. The relevant data under different weights are normalized and the optimal deployment scheme of CAVs and HDVs in different periods is obtained by comprehensive evaluation. Meanwhile, the mixed equilibrium flow state is explored under the premise of given market penetration to verify the feasibility of the model and algorithm.http://dx.doi.org/10.1155/2022/3866042 |
| spellingShingle | Zhaoming Zhou Jianbo Yuan Shengmin Zhou Qiong Long Jianrong Cai Lei Zhang Characteristics Analysis and Equilibrium Optimization of Mixed Traffic Flow considering Connected Automated and Human-Driven Vehicles Journal of Advanced Transportation |
| title | Characteristics Analysis and Equilibrium Optimization of Mixed Traffic Flow considering Connected Automated and Human-Driven Vehicles |
| title_full | Characteristics Analysis and Equilibrium Optimization of Mixed Traffic Flow considering Connected Automated and Human-Driven Vehicles |
| title_fullStr | Characteristics Analysis and Equilibrium Optimization of Mixed Traffic Flow considering Connected Automated and Human-Driven Vehicles |
| title_full_unstemmed | Characteristics Analysis and Equilibrium Optimization of Mixed Traffic Flow considering Connected Automated and Human-Driven Vehicles |
| title_short | Characteristics Analysis and Equilibrium Optimization of Mixed Traffic Flow considering Connected Automated and Human-Driven Vehicles |
| title_sort | characteristics analysis and equilibrium optimization of mixed traffic flow considering connected automated and human driven vehicles |
| url | http://dx.doi.org/10.1155/2022/3866042 |
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