Simulation Study of Autonomous Vehicles’ Effect on Traffic Flow Characteristics including Autonomous Buses
Autonomous vehicles are expected to revolutionize the transportation industry. The goal of this research is to study the heterogeneity in traffic flow dynamics by comparing different penetration rates of four different types of vehicles: autonomous cars (AC), autonomous buses (AB), manual cars (MC),...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2020-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2020/4318652 |
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| _version_ | 1849306909038870528 |
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| author | Tanveer Muhammad Faizan Ahmad Kashmiri Hassan Naeem Xin Qi Hsu Chia-Chun Huapu Lu |
| author_facet | Tanveer Muhammad Faizan Ahmad Kashmiri Hassan Naeem Xin Qi Hsu Chia-Chun Huapu Lu |
| author_sort | Tanveer Muhammad |
| collection | DOAJ |
| description | Autonomous vehicles are expected to revolutionize the transportation industry. The goal of this research is to study the heterogeneity in traffic flow dynamics by comparing different penetration rates of four different types of vehicles: autonomous cars (AC), autonomous buses (AB), manual cars (MC), and manual buses (MB). For the purpose of this research, a modified cellular automata (CA) model is developed in order to analyze the effect of heterogeneous vehicles (manual and autonomous). Previously, studies have focused on manual and autonomous cars, but we believe a gap in perception and analysis of mixed traffic still exists, as inclusion of other modes of autonomous vehicle research is very limited. Therefore, we have explicitly examined the effect of the AB on overall traffic flow. Moreover, two types of lane changing behavior (aggressive lane changing and polite lane changing) were also integrated into the model. Multiple scenarios through different compositions of vehicles were simulated. As per the results, if AB is employed concurrently with AC, there will be a significant improvement in traffic flow and road capacity, as equally more passengers can be accommodated in AB as AC is also anticipated to be used in carpooling. Secondly, when the vehicles change the lanes aggressively, there is a substantial growth in the flow rate and capacity of the network. Polite lane change does not significantly affect the flow rate. |
| format | Article |
| id | doaj-art-24343e638d7b40c39ff19edf674d8d99 |
| 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-24343e638d7b40c39ff19edf674d8d992025-08-20T03:54:56ZengWileyJournal of Advanced Transportation0197-67292042-31952020-01-01202010.1155/2020/43186524318652Simulation Study of Autonomous Vehicles’ Effect on Traffic Flow Characteristics including Autonomous BusesTanveer Muhammad0Faizan Ahmad Kashmiri1Hassan Naeem2Xin Qi3Hsu Chia-Chun4Huapu Lu5Department of Civil Engineering, Tsinghua University, Beijing 100084, ChinaDepartment of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Hong Kong, ChinaLahore Transport Company (LTC), Lahore, PakistanDepartment of Civil Engineering, Tsinghua University, Beijing 100084, ChinaDepartment of Civil Engineering, Tsinghua University, Beijing 100084, ChinaDepartment of Civil Engineering, Tsinghua University, Beijing 100084, ChinaAutonomous vehicles are expected to revolutionize the transportation industry. The goal of this research is to study the heterogeneity in traffic flow dynamics by comparing different penetration rates of four different types of vehicles: autonomous cars (AC), autonomous buses (AB), manual cars (MC), and manual buses (MB). For the purpose of this research, a modified cellular automata (CA) model is developed in order to analyze the effect of heterogeneous vehicles (manual and autonomous). Previously, studies have focused on manual and autonomous cars, but we believe a gap in perception and analysis of mixed traffic still exists, as inclusion of other modes of autonomous vehicle research is very limited. Therefore, we have explicitly examined the effect of the AB on overall traffic flow. Moreover, two types of lane changing behavior (aggressive lane changing and polite lane changing) were also integrated into the model. Multiple scenarios through different compositions of vehicles were simulated. As per the results, if AB is employed concurrently with AC, there will be a significant improvement in traffic flow and road capacity, as equally more passengers can be accommodated in AB as AC is also anticipated to be used in carpooling. Secondly, when the vehicles change the lanes aggressively, there is a substantial growth in the flow rate and capacity of the network. Polite lane change does not significantly affect the flow rate.http://dx.doi.org/10.1155/2020/4318652 |
| spellingShingle | Tanveer Muhammad Faizan Ahmad Kashmiri Hassan Naeem Xin Qi Hsu Chia-Chun Huapu Lu Simulation Study of Autonomous Vehicles’ Effect on Traffic Flow Characteristics including Autonomous Buses Journal of Advanced Transportation |
| title | Simulation Study of Autonomous Vehicles’ Effect on Traffic Flow Characteristics including Autonomous Buses |
| title_full | Simulation Study of Autonomous Vehicles’ Effect on Traffic Flow Characteristics including Autonomous Buses |
| title_fullStr | Simulation Study of Autonomous Vehicles’ Effect on Traffic Flow Characteristics including Autonomous Buses |
| title_full_unstemmed | Simulation Study of Autonomous Vehicles’ Effect on Traffic Flow Characteristics including Autonomous Buses |
| title_short | Simulation Study of Autonomous Vehicles’ Effect on Traffic Flow Characteristics including Autonomous Buses |
| title_sort | simulation study of autonomous vehicles effect on traffic flow characteristics including autonomous buses |
| url | http://dx.doi.org/10.1155/2020/4318652 |
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