Performance of autonomous vehicles in mixed traffic under different demand conditions

Autonomous Vehicles (AVs) are considered one of the potential solutions to future urban mobility with several promised benefits regarding safety and traffic operation. Despite of expected benefits, these vehicles will take decades to have full market penetration and before that, AVs will co-exist wi...

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Main Authors: Azam, M., Hassan, S. A., Puan, O. C., Azhari, S. F., Faiz, R. U.
Format: Article
Language:English
Published: Universiti Malaysia Pahang 2022
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/37390/1/Performance%20of%20Autonomous%20Vehicles%20in%20Mixed%20Traffic.pdf
http://umpir.ump.edu.my/id/eprint/37390/
https://doi.org/10.15282/ijame.19.4.2022.02.0776
https://doi.org/10.15282/ijame.19.4.2022.02.0776
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spelling my.ump.umpir.373902023-04-03T06:36:26Z http://umpir.ump.edu.my/id/eprint/37390/ Performance of autonomous vehicles in mixed traffic under different demand conditions Azam, M. Hassan, S. A. Puan, O. C. Azhari, S. F. Faiz, R. U. HE Transportation and Communications TA Engineering (General). Civil engineering (General) TL Motor vehicles. Aeronautics. Astronautics Autonomous Vehicles (AVs) are considered one of the potential solutions to future urban mobility with several promised benefits regarding safety and traffic operation. Despite of expected benefits, these vehicles will take decades to have full market penetration and before that, AVs will co-exist with Conventional Vehicles (CVs), which may affect the performance of AVs owing to different driving logic than CVs. The aim of this study is to quantify the impacts of varying penetrations of AVs when introduced in mixed traffic conditions. The study employed simulation environment VISSIM to study the different scenarios based on the percentage of AVs in mixed traffic, category of AVs and varying demand levels. The findings show that at lower demand levels (1000 veh/hr and 2000 veh/hr), CVs and three categories of AVs produced similar results. However, cautious and normal AVs negatively affect traffic operations when the demand level is increased. At demand-3 (3000 veh/hr), the penetration rates of cautious AVs greater than 50% shows negative impact on performance. At demand-4 (4000 veh/hr), even a small proportion (25%) of cautious AVs can negatively affect performance, and a similar effect is observed for normal AVs with a penetration rate greater than 75%. For speed, the minimum reduction with the increase in demand is observed for aggressive AVs, followed by conventional vehicles, normal AVs and cautious AVs. It can be concluded that the aggressive AVs produced better delays, queue length, speed and conflicts than CVs, cautious AVs and normal AVs at the highest demand levels. Universiti Malaysia Pahang 2022-12 Article PeerReviewed pdf en cc_by_4 http://umpir.ump.edu.my/id/eprint/37390/1/Performance%20of%20Autonomous%20Vehicles%20in%20Mixed%20Traffic.pdf Azam, M. and Hassan, S. A. and Puan, O. C. and Azhari, S. F. and Faiz, R. U. (2022) Performance of autonomous vehicles in mixed traffic under different demand conditions. International Journal of Automotive and Mechanical Engineering (IJAME), 19 (4). pp. 10050-10062. ISSN 2229-8649 (Print); 2180-1606 (Online) https://doi.org/10.15282/ijame.19.4.2022.02.0776 https://doi.org/10.15282/ijame.19.4.2022.02.0776
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic HE Transportation and Communications
TA Engineering (General). Civil engineering (General)
TL Motor vehicles. Aeronautics. Astronautics
spellingShingle HE Transportation and Communications
TA Engineering (General). Civil engineering (General)
TL Motor vehicles. Aeronautics. Astronautics
Azam, M.
Hassan, S. A.
Puan, O. C.
Azhari, S. F.
Faiz, R. U.
Performance of autonomous vehicles in mixed traffic under different demand conditions
description Autonomous Vehicles (AVs) are considered one of the potential solutions to future urban mobility with several promised benefits regarding safety and traffic operation. Despite of expected benefits, these vehicles will take decades to have full market penetration and before that, AVs will co-exist with Conventional Vehicles (CVs), which may affect the performance of AVs owing to different driving logic than CVs. The aim of this study is to quantify the impacts of varying penetrations of AVs when introduced in mixed traffic conditions. The study employed simulation environment VISSIM to study the different scenarios based on the percentage of AVs in mixed traffic, category of AVs and varying demand levels. The findings show that at lower demand levels (1000 veh/hr and 2000 veh/hr), CVs and three categories of AVs produced similar results. However, cautious and normal AVs negatively affect traffic operations when the demand level is increased. At demand-3 (3000 veh/hr), the penetration rates of cautious AVs greater than 50% shows negative impact on performance. At demand-4 (4000 veh/hr), even a small proportion (25%) of cautious AVs can negatively affect performance, and a similar effect is observed for normal AVs with a penetration rate greater than 75%. For speed, the minimum reduction with the increase in demand is observed for aggressive AVs, followed by conventional vehicles, normal AVs and cautious AVs. It can be concluded that the aggressive AVs produced better delays, queue length, speed and conflicts than CVs, cautious AVs and normal AVs at the highest demand levels.
format Article
author Azam, M.
Hassan, S. A.
Puan, O. C.
Azhari, S. F.
Faiz, R. U.
author_facet Azam, M.
Hassan, S. A.
Puan, O. C.
Azhari, S. F.
Faiz, R. U.
author_sort Azam, M.
title Performance of autonomous vehicles in mixed traffic under different demand conditions
title_short Performance of autonomous vehicles in mixed traffic under different demand conditions
title_full Performance of autonomous vehicles in mixed traffic under different demand conditions
title_fullStr Performance of autonomous vehicles in mixed traffic under different demand conditions
title_full_unstemmed Performance of autonomous vehicles in mixed traffic under different demand conditions
title_sort performance of autonomous vehicles in mixed traffic under different demand conditions
publisher Universiti Malaysia Pahang
publishDate 2022
url http://umpir.ump.edu.my/id/eprint/37390/1/Performance%20of%20Autonomous%20Vehicles%20in%20Mixed%20Traffic.pdf
http://umpir.ump.edu.my/id/eprint/37390/
https://doi.org/10.15282/ijame.19.4.2022.02.0776
https://doi.org/10.15282/ijame.19.4.2022.02.0776
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score 13.211869