Simulation Strategies for Mixed Traffic Conditions: A Review of Car-Following Models and Simulation Frameworks
The area of traffic flow modelling and analysis that bridges civil engineering, computer science, and mathematics has gained significant momentum in the urban areas due to increasing vehicular population causing traffic congestion and accidents. Notably, the existence of mixed traffic conditions has...
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | Journal of Engineering |
| Online Access: | http://dx.doi.org/10.1155/2020/8231930 |
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| author | Bhargav Naidu Matcha Satesh Narayana Namasivayam Mohammad Hosseini Fouladi K. C. Ng Sivakumar Sivanesan Se Yong Eh Noum |
| author_facet | Bhargav Naidu Matcha Satesh Narayana Namasivayam Mohammad Hosseini Fouladi K. C. Ng Sivakumar Sivanesan Se Yong Eh Noum |
| author_sort | Bhargav Naidu Matcha |
| collection | DOAJ |
| description | The area of traffic flow modelling and analysis that bridges civil engineering, computer science, and mathematics has gained significant momentum in the urban areas due to increasing vehicular population causing traffic congestion and accidents. Notably, the existence of mixed traffic conditions has been proven to be a significant contributor to road accidents and congestion. The interaction of vehicles takes place in both lateral and longitudinal directions, giving rise to a two-dimensional (2D) traffic behaviour. This behaviour contradicts with the traditional car-following (CF) or one-dimensional (1D) lane-based traffic flow. Existing one-dimensional CF models did the inclusion of lane changing and overtaking behaviour of the mixed traffic stream with specific alterations. However, these parameters cannot describe the continuous lateral manoeuvre of mixed traffic flow. This review focuses on all the significant contributions made by 2D models in evaluating the lateral and longitudinal vehicle behaviour simultaneously. The accommodation of vehicle heterogeneity into the car-following models (homogeneous traffic models) is discussed in detail, along with their shortcomings and research gaps. Also, the review of commercially existing microscopic traffic simulation frameworks built to evaluate real-world traffic scenario are presented. This review identified various vehicle parameters adopted by existing CF models and whether the current 2D traffic models developed from CF models effectively captured the vehicle behaviour in mixed traffic conditions. Findings of this study are outlined at the end. |
| format | Article |
| id | doaj-art-5ea7fefcabe9470ea2eedcff251683d9 |
| institution | Kabale University |
| issn | 2314-4904 2314-4912 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Engineering |
| spelling | doaj-art-5ea7fefcabe9470ea2eedcff251683d92025-02-03T05:49:53ZengWileyJournal of Engineering2314-49042314-49122020-01-01202010.1155/2020/82319308231930Simulation Strategies for Mixed Traffic Conditions: A Review of Car-Following Models and Simulation FrameworksBhargav Naidu Matcha0Satesh Narayana Namasivayam1Mohammad Hosseini Fouladi2K. C. Ng3Sivakumar Sivanesan4Se Yong Eh Noum5School of Engineering, Taylor’s University, No. 1 Jalan Taylor’s, 47500 Subang Jaya, Selangor, MalaysiaSchool of Engineering, Taylor’s University, No. 1 Jalan Taylor’s, 47500 Subang Jaya, Selangor, MalaysiaSchool of Engineering, Taylor’s University, No. 1 Jalan Taylor’s, 47500 Subang Jaya, Selangor, MalaysiaDepartment of Mechanical, Materials and Manufacturing Engineering, The University of Nottingham Malaysia, Jalan Broga, 43500 Semenyih, Selangor Darul Ehsan, MalaysiaSchool of Engineering, Taylor’s University, No. 1 Jalan Taylor’s, 47500 Subang Jaya, Selangor, MalaysiaSchool of Engineering, Taylor’s University, No. 1 Jalan Taylor’s, 47500 Subang Jaya, Selangor, MalaysiaThe area of traffic flow modelling and analysis that bridges civil engineering, computer science, and mathematics has gained significant momentum in the urban areas due to increasing vehicular population causing traffic congestion and accidents. Notably, the existence of mixed traffic conditions has been proven to be a significant contributor to road accidents and congestion. The interaction of vehicles takes place in both lateral and longitudinal directions, giving rise to a two-dimensional (2D) traffic behaviour. This behaviour contradicts with the traditional car-following (CF) or one-dimensional (1D) lane-based traffic flow. Existing one-dimensional CF models did the inclusion of lane changing and overtaking behaviour of the mixed traffic stream with specific alterations. However, these parameters cannot describe the continuous lateral manoeuvre of mixed traffic flow. This review focuses on all the significant contributions made by 2D models in evaluating the lateral and longitudinal vehicle behaviour simultaneously. The accommodation of vehicle heterogeneity into the car-following models (homogeneous traffic models) is discussed in detail, along with their shortcomings and research gaps. Also, the review of commercially existing microscopic traffic simulation frameworks built to evaluate real-world traffic scenario are presented. This review identified various vehicle parameters adopted by existing CF models and whether the current 2D traffic models developed from CF models effectively captured the vehicle behaviour in mixed traffic conditions. Findings of this study are outlined at the end.http://dx.doi.org/10.1155/2020/8231930 |
| spellingShingle | Bhargav Naidu Matcha Satesh Narayana Namasivayam Mohammad Hosseini Fouladi K. C. Ng Sivakumar Sivanesan Se Yong Eh Noum Simulation Strategies for Mixed Traffic Conditions: A Review of Car-Following Models and Simulation Frameworks Journal of Engineering |
| title | Simulation Strategies for Mixed Traffic Conditions: A Review of Car-Following Models and Simulation Frameworks |
| title_full | Simulation Strategies for Mixed Traffic Conditions: A Review of Car-Following Models and Simulation Frameworks |
| title_fullStr | Simulation Strategies for Mixed Traffic Conditions: A Review of Car-Following Models and Simulation Frameworks |
| title_full_unstemmed | Simulation Strategies for Mixed Traffic Conditions: A Review of Car-Following Models and Simulation Frameworks |
| title_short | Simulation Strategies for Mixed Traffic Conditions: A Review of Car-Following Models and Simulation Frameworks |
| title_sort | simulation strategies for mixed traffic conditions a review of car following models and simulation frameworks |
| url | http://dx.doi.org/10.1155/2020/8231930 |
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