Alireza Talebpour

Alireza Talebpour
Texas A&M University | TAMU · Department of Civil Engineering

PhD

About

57
Publications
18,354
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1,692
Citations

Publications

Publications (57)
Article
This paper proposes a reinforcement learning-based framework for mandatory lane changing of automated vehicles in a non-cooperative environment. The objective is to create a reinforcement learning (RL) agent that is able to perform lane-changing maneuvers successfully and efficiently and with minimal impact on traffic flow in the target lane. For t...
Article
Car-following models have been explored thoroughly for different vehicle types, such as cars and trucks. Although snowplows can be classified as trucks, their unique physical and operational characteristics impose a distinct following behavior. Michigan Department of Transportation has recently tested a collision avoidance system to reduce rear-end...
Article
Full-text available
The traffic dynamics are expected to change with the widespread utilization of advanced driver assistance systems (ADAS). Currently, simulation tools are adopted to capture the impacts of ADAS technologies on traffic dynamics. Real-world data collection of different ADAS technologies is required to support realistic modeling of these technologies i...
Article
Connected and autonomous vehicle technologies are expected to alter transportation systems by enhancements in mobility, safety, and emission reduction. While many studies have investigated the impacts of connected vehicle (CV) and autonomous vehicle (AV) technologies on traffic congestion and emission at the facility level, little is known about th...
Article
Pedestrians are among the travelers most vulnerable to collisions that are associated with high fatality and injury rates. The increasing rate of urbanization and mixed land-use construction make walking (along with other non-motorized travel) a predominant transportation mode with a wide variety of behaviors expected. Because of the inherent safet...
Article
The deployment of connected, automated vehicles (CAVs) provides the opportunity to enhance the safety and efficiency of transportation systems. However, despite the rapid development of this technology, human-driven vehicles are predicted to predominate the vehicle fleet, compelling CAVs to be able to operate in a mixed traffic environment. The key...
Article
Full-text available
While safety is the ultimate goal in designing Connected and Automated Vehicles (CAVs), current automotive safety standards fail to explicitly define rules and regulations that ensure the safety of CAVs or those interacting with such vehicles. This study investigates CAV safety in mixed traffic environments with both human-driven and automated vehi...
Article
New application domains have faded the barriers between humans and robots, introducing a new set of complexities to robotic systems. The major impediment is the uncertainties associated with human decision making, which makes it challenging to predict human behavior. A realistic model of human behavior is thus vital to capture humans’ interactive b...
Article
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This paper examines the potential impact of autonomous vehicles on commuters’ value of travel time (VOTT). In particular, we focus on the effect on auto commuters in small and medium-sized metropolitan areas, concerning the spatial variability across urban areas, suburbs, and rural areas. We design a stated choice experiment to elicit potential cha...
Article
Incidents are a major source of traffic congestion and can lead to long and unpredictable delays, deteriorating traffic operations and adverse environmental impacts. The emergence of connected vehicles and communication technologies has enabled travelers to use real-time traffic information. The ability to exchange traffic information among vehicle...
Preprint
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Autonomous vehicle technologies are expected to reshape travel experiences by enabling more productive or enjoyable uses of travel time. Interests regarding how autonomous vehicles will affect mobility and the subsequent broader social effects are growing. However, few studies have investigated individuals' in-vehicle activities during travel in au...
Article
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Advances in communication technologies and connected vehicles provide excellent opportunities for data exchange between vehicles and infrastructure. The data transmitted by connected vehicles offers valuable information to traffic control centers to improve the safety and operation of the transportation network. However, there are some security con...
Article
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Despite numerous studies on general human–robot interactions, in the context of transportation, automated vehicle (AV)–human driver interaction is not a well-studied subject. These vehicles have fundamentally different decision-making logic compared with human drivers and the driving interactions between AVs and humans can potentially change traffi...
Preprint
Full-text available
This study proposes a deep learning methodology to predict the propagation of traffic shockwaves. The input to the deep neural network is time-space diagram of the study segment, and the output of the network is the predicted (future) propagation of the shockwave on the study segment in the form of time-space diagram. The main feature of the propos...
Article
Full-text available
Traffic prediction is a major component of any traffic management system. With the increase in data sources and advancement in connectivity, data analysis and machine learning approaches for traffic prediction have gained a lot of attention. Most of the existing data analysis approaches in traffic prediction rely on aggregated inputs such as flow a...
Article
The objective of this paper is to develop a micro-economic modeling approach for car-following behaviors that may capture different risk-taking tendencies when dealing with different traffic conditions. The proposed framework allows for the consideration of perception subjectivity and judgement errors that may lead to unsafe acceleration driving ma...
Chapter
Modeling the impact of connected and automated vehicles (CAVs) on the environmental sustainability, mobility and safety of roadway traffic at the local link level or the regional network level requires a significant amount of currently non-available data. Multiple CAV test-beds and data collection efforts utilizing the latest sensing and communicat...
Article
Full-text available
The objective of this paper is to develop a micro-economic modeling approach for car-following behaviors that may capture different risk-taking tendencies when dealing with different traffic conditions. The proposed framework allows for the consideration of perception subjectivity and judgement errors that may lead to unsafe acceleration driving ma...
Article
Connectivity and automation are expected to enhance safety and efficiency in transportation systems. Connectivity will provide information to drivers/autonomous vehicles to enhance decision-making reliability at the operational and tactical levels. Consequently, drivers are more likely to execute safe and efficient maneuvers and autonomous vehicles...
Article
Pedestrians are active agents that undergo a repeated decision-making process while walking. These anisotropic, interactive, and feedback-oriented agents observe their surroundings, anticipate the future state of the network, and decide on their next movements accordingly, while ensuring a collision-free path toward their destination. Aiming at cap...
Article
Traffic congestion is a complex phenomenon triggered by a combination of multiple interacting factors. One of the main factors is the disturbances caused by individual vehicles, which cannot be identified in aggregate traffic data. Advances in vehicle wireless communications present new opportunities to measure traffic perturbations at the individu...
Article
Traffic shockwaves reflect a transition from the free-flow traffic state to the congested state. They create potentially unsafe situations for drivers, increase travel time, and significantly reduce freeway capacity. Several shockwave detection methods based on loop detector data and other traditional databases have been around for years. However,...
Conference Paper
Communication technology enables information transmissions among vehicles and has the potential to improve the transportation system performance. The goal of the current study is to evaluate the effectiveness of a congestion warning application in connected vehicles on improving mobility and reducing fuel consumption at the network level. A microsi...
Article
Platooning is expected to enhance the efficiency of operating automated vehicles. The positive impacts of platooning on travel time reliability, congestion, emissions, and energy consumption have been shown for homogenous roadway segments. However, the transportation system consists of inhomogeneous segments, and understanding the full impacts of p...
Conference Paper
Communication technology enables information transmissions among vehicles and has the potential to improve the transportation system performance. The goal of the current study is to evaluate the effectiveness of a congestion warning application in connected vehicles on improving mobility and reducing fuel consumption at the network level. A microsi...
Chapter
Significant progress has been observed in recent years in the development of connected and automated vehicles (CAVs). Such progress has been publicized through the latest products/applications being released or announced by the industry. However, there is a limited knowledge on the impact of CAV technologies on surface transportation network perfor...
Article
Full-text available
The speed limit changes frequently throughout the transportation network, due to either safety (e.g., change in geometry) or congestion management (e.g., speed harmonization systems). Any abrupt reduction in the speed limit can create a shockwave that propagates upstream in traffic. Dealing with such an abrupt reduction in speed limit is particular...
Conference Paper
Connected vehicles have the potential to improve the performance of highway transportation systems. The impacts of connectivity on individual highway segments have been extensively evaluated. The present paper assesses the network-wide impacts of connected vehicles on mobility and emissions using a micro simulation model developed in the study. A n...
Article
Full-text available
Connectivity and automation are expected to enhance safety and efficiency in transportation systems. Connectivity will provide information to drivers/autonomous vehicles to enhance decision-making reliability at the operational and tactical levels. Consequently, drivers are more likely to execute safe and efficient maneuvers and autonomous vehicles...
Article
Connected automated vehicles (CAVs) could potentially be coordinated to safely attain the maximum traffic flow on roadways under dynamic traffic patterns, such as those engendered by the merger of two strings of vehicles due a lane drop. Strings of vehicles have to be shaped correctly in terms of the inter-vehicular time-gap and velocity to ensure...
Article
Full-text available
The positive impacts of platooning on travel time reliability, congestion, emissions, and energy consumption have been shown for homogeneous roadway segments. However, speed limit changes frequently throughout the transportation network, due to either safety-related considerations (e.g., workzone operations) or congestion management schemes (e.g.,...
Article
Full-text available
Connected Vehicle technology provides the opportunity to create a connected network of vehicles and infrastructure. In such a network, individual vehicles can communicate with each other and with the infrastructure, including with a Traffic Management Center. The effects of connectivity on reducing congestion and improving throughput and reliabilit...
Article
Full-text available
Autonomous vehicles are expected to significantly influence our daily travel. Despite the autonomous vehicles' potential to enhance safety and reduce congestion, energy consumption, and emissions, many studies suggest that the system level effects will be minimal at low market penetration rates. Introducing reserved lanes for autonomous vehicles is...
Article
The objective of this paper is to quantify and characterize driver behavior under different roadway geometries and weather conditions. In order to explore how a driver perceives the rapidly changing driving surrounding (i.e. different weather conditions and road geometry configurations) and executes acceleration maneuvers accordingly, this paper ex...
Article
Incidents at mass gatherings all over the world continue to raise concern about pedestrian safety. This rising concern calls for researchers to understand the underlying dynamics behind pedestrian and mass movements. The literature offers several approaches that reproduce reality to varying degrees, simulate it, and model it under different circums...
Article
Full-text available
Connected and autonomous vehicles will influence the future of the surface transportation system by enhancing safety, improving mobility, reducing energy consumption, and controlling emissions. The real-time information provided by connected vehicles technology allows drivers to become more aware of the surrounding traffic conditions and to maneuve...
Article
This paper presents a modeling approach to linking stochastic acceleration and lane-changing behavior to travel time reliability on congested freeways. Individual driving behavior is represented by a prospect-theory-based model that takes into account uncertainty and risk evaluation in terms of gains and losses while following a lead vehicle. Given...
Article
Full-text available
The main objective of this study was to identify near crashes in vehicle trajectory data with interdriver heterogeneity and situation dependency considered. Several efforts have been made to evaluate the effects of near-crash events on safety with the use of naturalistic driving data, driving simulators, and test tracks. However, these efforts have...
Technical Report
Full-text available
The need to reduce congestion, enhance safety, and make the U.S. transportation system and cities more sustainable has given rise to various programs, technologies, and policies. The effectiveness of these interventions depends on how users eventually respond and, in some instances, modify their travel behavior. While significant advances have ta...
Technical Report
Full-text available
This document provides an overview of the methodology and tools that can be applied to existing microsimulation and mesoscopic modeling software to assess travel time reliability. The methodology is primarily based on research, and the tools have been developed only at the prototype stage. However, through rigorous testing at different levels of si...
Conference Paper
This paper studies the effects of 5 safety related parameters in the Prospect Theory based acceleration model on carbon dioxide (CO2) emissions. The individual driving behaviors are linked to emissions using the Virginia Tech Comprehensive Power-based Fuel Consumption model. The safety parameters in the Prospect Theory based acceleration model incl...
Conference Paper
This paper presents a modeling approach to linking stochastic acceleration behavior to travel time reliability on congested freeways. Individual driving behavior is represented by a prospect theory based model that takes into account uncertainty and risk-based evaluation of the gains and losses while following a lead vehicle. Given a set of stimuli...
Article
Full-text available
The objective of this study was to explore the impacts of early shock wave detection on breakdown formation and driving hazards (safety) and the possible corresponding improvements from the use of speed harmonization as a control strategy. Several efforts have been made to evaluate speed harmonization systems by means of various traffic microsimula...
Article
Full-text available
Prevailing traffic conditions affect highway safety and the processes by which drivers perceive a stimulus, evaluate it, and execute a corresponding driving maneuver. Several efforts have been made to use microscopic traffic simulation for evaluating highway safety. However, these efforts faced serious challenges because previous acceleration and l...
Article
Full-text available
Car-following models constitute the main component of operational microscopic simulation models and are intended to capture intervehicle interactions on highway sections. Most existing car-following models are deterministic and do not capture the effects of surrounding traffic conditions on the decision-making process of the driver. An extension to...

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Projects (3)
Project
platooning of a convoy of vehicles in presence of speed drop is the title of my current project. its results hopefully will be published soon. the controller designed in this project make convoys of vehicle fable to track certain type of speed profiles (almost arbitrary velocity profile) while keeping string stability and safe distance between successive vehicles.
Project
The goal is to connect the behavior of different users and user types to their safety implications. The methods range from aggregate data mining to microsimulation of individual drivers.
Project
We examine the impact of autonomous and connected vehicles in mixed traffic on system performance, especially throughput and flow stability.