Modeling for Micro Traffic Flow with the Consideration of Lateral Vehicle’s Influence
In order to make the car-following model describe the driving behavior of vehicle on urban road more accurately, existing car-following models are simulated using measured traffic data. According to the analysis of the simulation result, two new improved car-following models based on the optimal vel...
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2020/8340283 |
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| author | Da-wei Liu Zhong-ke Shi Wen-Huan Ai |
| author_facet | Da-wei Liu Zhong-ke Shi Wen-Huan Ai |
| author_sort | Da-wei Liu |
| collection | DOAJ |
| description | In order to make the car-following model describe the driving behavior of vehicle on urban road more accurately, existing car-following models are simulated using measured traffic data. According to the analysis of the simulation result, two new improved car-following models based on the optimal velocity model (OVM) are proposed in this paper. The lateral vehicle’s influence is introduced as the influence factor of driving behavior. By using of linear stability analysis, stability conditions of improved car-following models are obtained. Nonlinear analysis is carried out to investigate the traffic performances near the critical point. The result of numerical simulation indicates that stability of traffic flow is under the influence from lateral vehicle; the lesser the influence, the greater the stability. New cooperative car-following models are verified by the traffic flow data collected in Xi’an city. It is shown that compared with the optimal velocity model, the simulation result of the second cooperative model, respectively, gets 62.89% unbiased variance reduction, 66.39% maximum absolute error reduction, and 33.4% minimum absolute error reduction. Therefore, the second cooperative model is more suitable to describe the vehicle’s actual behavior in car-following state. |
| format | Article |
| id | doaj-art-502bd509e5074fe39bc6fbff2b225a57 |
| institution | Kabale University |
| issn | 0197-6729 2042-3195 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-502bd509e5074fe39bc6fbff2b225a572025-02-03T01:05:12ZengWileyJournal of Advanced Transportation0197-67292042-31952020-01-01202010.1155/2020/83402838340283Modeling for Micro Traffic Flow with the Consideration of Lateral Vehicle’s InfluenceDa-wei Liu0Zhong-ke Shi1Wen-Huan Ai2School of Automation, Northwestern Polytechnical University, Xi’an 710072, Shaanxi, ChinaSchool of Automation, Northwestern Polytechnical University, Xi’an 710072, Shaanxi, ChinaCollege of Computer Science & Engineering, Northwest Normal University, Lanzhou 730050, Gansu, ChinaIn order to make the car-following model describe the driving behavior of vehicle on urban road more accurately, existing car-following models are simulated using measured traffic data. According to the analysis of the simulation result, two new improved car-following models based on the optimal velocity model (OVM) are proposed in this paper. The lateral vehicle’s influence is introduced as the influence factor of driving behavior. By using of linear stability analysis, stability conditions of improved car-following models are obtained. Nonlinear analysis is carried out to investigate the traffic performances near the critical point. The result of numerical simulation indicates that stability of traffic flow is under the influence from lateral vehicle; the lesser the influence, the greater the stability. New cooperative car-following models are verified by the traffic flow data collected in Xi’an city. It is shown that compared with the optimal velocity model, the simulation result of the second cooperative model, respectively, gets 62.89% unbiased variance reduction, 66.39% maximum absolute error reduction, and 33.4% minimum absolute error reduction. Therefore, the second cooperative model is more suitable to describe the vehicle’s actual behavior in car-following state.http://dx.doi.org/10.1155/2020/8340283 |
| spellingShingle | Da-wei Liu Zhong-ke Shi Wen-Huan Ai Modeling for Micro Traffic Flow with the Consideration of Lateral Vehicle’s Influence Journal of Advanced Transportation |
| title | Modeling for Micro Traffic Flow with the Consideration of Lateral Vehicle’s Influence |
| title_full | Modeling for Micro Traffic Flow with the Consideration of Lateral Vehicle’s Influence |
| title_fullStr | Modeling for Micro Traffic Flow with the Consideration of Lateral Vehicle’s Influence |
| title_full_unstemmed | Modeling for Micro Traffic Flow with the Consideration of Lateral Vehicle’s Influence |
| title_short | Modeling for Micro Traffic Flow with the Consideration of Lateral Vehicle’s Influence |
| title_sort | modeling for micro traffic flow with the consideration of lateral vehicle s influence |
| url | http://dx.doi.org/10.1155/2020/8340283 |
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