Amir Hossein Karbasi

Amir Hossein Karbasi
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Amir Hossein verified their affiliation via an institutional email.
Verified
Amir Hossein verified their affiliation via an institutional email.
  • Ph.D. student
  • PhD Student at McMaster University

Working on the application of deep reinforcement learning methods in traffic signal management and platooning management

About

13
Publications
2,173
Reads
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54
Citations
Introduction
Amir Hossein Karbasi is currently a Ph.D. student at McMaster University, Canada. His research interests are the application of deep reinforcement learning in traffic signal optimization, CACC-equipped platoons management, and Traffic safety analysis.
Current institution
McMaster University
Current position
  • PhD Student
Additional affiliations
January 2023 - present
McMaster University
Position
  • Ph.D. Student
Education
September 2018 - February 2021
Tarbiat Modares University
Field of study
  • Transportation Engineering
September 2013 - September 2017
Lorestan University
Field of study
  • Civil engineering

Publications

Publications (13)
Conference Paper
Full-text available
Traffic management plays an important role in transportation planning, and an effective means of traffic management is traffic flow prediction. Traffic flow prediction provides traffic decision-makers the opportunity to reach accurate information to make judicious decisions that can reduce traffic congestion. On the other hand, deep neural networks...
Article
Full-text available
Road traffic crashes are a major safety problem, with one of the leading factors in crashes being human error. Automated and connected vehicles (CAVs) that are equipped with Advanced Driver Assistance Systems (ADAS) are expected to reduce human error. In this paper, the Simulation of Urban MObility (SUMO) traffic simulator is used to investigate ho...
Article
Fundamental diagrams (FDs) present the relationship between flow, speed, and density, and give some valuable information about traffic features such as capacity, congested and uncongested situations, and so forth. On the other hand, high accuracy speed-density models can produce more efficient FDs. Although numerous speed-density models are present...
Preprint
Accurate traffic volume and speed prediction have a wide range of applications in transportation. It can result in useful and timely information for both travellers and transportation decision-makers. In this study, an Attention based Long Sort-Term Memory model (A-LSTM) is proposed to simultaneously predict traffic volume and speed in a critical r...
Article
Full-text available
Automated vehicles (AVs) will appear on the road soon and will influence the properties of road traffic networks such as capacity and safety. While the impact of AV on traffic operations has been discussed extensively, most existing literature in this direction focuses on microscopic and mesoscopic levels. This study examines the effect of AVs on t...
Preprint
Full-text available
In transportation networks, intersections pose significant risks of collisions due to conflicting movements of vehicles approaching from different directions. To address this issue, various tools can exert influence on traffic safety both directly and indirectly. This study focuses on investigating the impact of adaptive signal control and connecte...
Code
This code which is called MacrOutput describes the relationship between density, flow, and speed based on sumo Edge-based output. Edge-base output includes some information about density, speed, travel time and etc. to extract fundamental diagrams based on Edge-based data, mean density, mean speed, and mean flow should be calculated. To calculate t...
Article
Full-text available
You can read the extended English abstract version of this article here: https://ceej.aut.ac.ir/jufile?ar_sfile=88672&lang=en.................................................................................................... Congestion is one of the problems that has bothered many countries in recent decades and has imposed huge costs on many coun...
Article
Full-text available
Shortly, Automated Vehicles (AV) will be used in urban streets in many countries. On the other hand, many countries are faced with congested problems and are looking for some way to solve congestion problems. Therefore, it is necessary to find the impact of these vehicles on different aspects of transportation planning. In recent years many researc...
Conference Paper
Full-text available
The use of autonomous vehicles (AV) on the roads is becoming a reality and these vehicles will change many aspects of transportation.so it is necessary to research the impact of this kind of vehicle on different aspects of transportation. On the other hand, two aspects of this kind of vehicle can pose important challenges for researchers. The first...
Conference Paper
Full-text available
در سالهای اخیر توجههای زیادی به سمت ظهور فناوریهای جدید در حوزه حملونقل بوده است که یکی از مهمترین دستاوردهای آن ظهور خودروهای خودران بوده است.خودروهای خودران در سطحهای مختلفی توصیف میشوند که سطح موردنظر بالاترین سطح خودرانی یعنی رانندگی بدون نیاز به راننده را میباشد.با توجه به ویژگیهای منحصربهفرد خودروهای خودران،این خودروها قابلیت کاهش میزان مصرف...

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