Searched for: subject%3A%22mixed%255C+traffic%22
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Yao, X. (author), Du, Zhaocheng (author), Sun, Zhanbo (author), Calvert, S.C. (author), ji, Ang (author)
Deep Reinforcement Learning (DRL) has made remarkable progress in autonomous vehicle decision-making and execution control to improve traffic performance. This paper introduces a DRL-based mechanism for cooperative lane changing in mixed traffic (CLCMT) for connected and automated vehicles (CAVs). The uncertainty of human-driven vehicles (HVs...
journal article 2024
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Wang, Yixia (author), Lin, Shu (author), Wang, Yibing (author), De Schutter, B.H.K. (author), Xu, Jungang (author)
Currently, with the development of driving technologies, driverless vehicles gradually are becoming more and more available. Therefore, there would be a long period of time during which self-driving vehicles and human-driven vehicles coexist. However, for a mixed platoon, it is hard to control the formation due to the existence of the manual...
journal article 2023
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Raju, Narayana (author), Arkatkar, Shriniwas (author), Easa, Said (author)
This paper presents a framework for monitoring highway traffic-stream measures using quality trajectory data of mixed (heterogeneous) traffic. The framework includes a new measure that reflects the attentiveness of the follower driver, called receptiveness angle, in the vehicle-following process. This measure is integrated with the traditional...
journal article 2023
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Bamdad Mehrabani, B.B.M. (author), Erdmann, Jakob (author), Sgambi, Luca (author), Seyedabrishami, Seyedehsan (author), Snelder, M. (author)
Connected and Autonomous Vehicles (CAVs) may exhibit different driving and route choice behaviours compared to Human-Driven Vehicles (HDVs), which can result in a mixed traffic flow with multiple classes of route choice behaviour. Therefore, it is necessary to solve the Multiclass Traffic Assignment Problem (TAP) for mixed traffic flow....
journal article 2023
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Mecacci, Giulio (author), Calvert, S.C. (author), Santoni De Sio, F. (author)
The urban traffic environment is characterized by the presence of a highly differentiated pool of users, including vulnerable ones. This makes vehicle automation particularly difficult to implement, as a safe coordination among those users is hard to achieve in such an open scenario. Different strategies have been proposed to address these...
journal article 2023
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Wiersma, Jitse (author)
New applications of connectivity between vehicles and the infrastructure are developed. One of these applications is providing upstream information on variable speed limits to connected and automated vehicles. It is expected that the connectivity can contribute to safer roads due to better compliance to the posted speed limits. Those...
master thesis 2022
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Pauwels, A.J. (author), Pourmohammadzia, N. (author), Schulte, F. (author)
Next to environmental aspects, establishing areas for safe and economically viable automated driving in mixed-traffic settings is one major challenge for sustainable development of Autonomous Vehicles (AVs). This work investigates safety in the interactions between AVs, human-driven vehicles, and vulnerable road users, including cyclists and...
journal article 2022
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Reddy, N. (author), Hoogendoorn, S.P. (author), Farah, H. (author)
Future traffic will be composed of both human-driven vehicles (HDVs) and automated vehicles (AVs). To accurately predict the performance of mixed traffic, an important aspect is describing HDV behavior when interacting with AVs. A few exploratory studies show that HDVs change their behavior when interacting with AVs, being influenced by...
journal article 2022
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Soni, Shubham (author), Reddy, N. (author), Tsapi, Anastasia (author), van Arem, B. (author), Farah, H. (author)
Advancements in technology are bringing automated vehicles (AVs) closer to wider deployment. However, in the early phases of their deployment, AVs will coexist and frequently interact with human-driven vehicles (HDVs). These interactions might lead to changes in the driving behavior of HDVs. A field test was conducted in the Netherlands with...
journal article 2022
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Farah, H. (author), Postigo, Ivan (author), Reddy, N. (author), Dong, Y. (author), Rydergren, Clas (author), Raju, Narayana (author), Olstam, Johan (author)
The gradual deployment of automated vehicles on the existing road network will lead to a long transition period in which vehicles at different driving automation levels and capabilities will share the road with human driven vehicles, resulting into what is known as mixed traffic. Whether our road infrastructure is ready to safely and efficiently...
journal article 2022
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Lingam, Shiva Nischal (author)
Driving involves communicative interactions where human drivers use communication signals to negotiate their right-of-way for road safety. The introduction of automated vehicles (AVs) in mixed-traffic environment, where human drivers will interact with AVs, will affect the nature of these communicative interactions. AVs and human-driven vehicles...
master thesis 2021
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Dharaneppanavar, Sourabh (author)
In the future, Human Driven Vehicles (HDV's) are expected to interact with Automated Vehicles (AV’s) and Connected AV’s (CAV’s). Due to the differences in the expected driving behavior of AV’s (ACC) and CAV’s (CACC) compared to HDV’s, the nature of traffic breakdown phenomena in the future can be expected to change. AV’s (ACC) and CAV’s (CACC)...
master thesis 2021
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H R, Surya (author), Raju, Narayana (author), arkatkar, shriniwas (author)
There is an increase in the need to understand traffic flow behavior through multiple fronts, especially in developing countries like India, where a high degree of heterogeneity, non-lane-discipline, and non-compliance to traffic rules prevail in the road sections. As a result, it can impact the stability of the traffic stream. Four car...
conference paper 2021
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Raju, Narayana (author), Arkatkar, Shriniwas (author), Easa, Said (author), joshi, gaurang (author)
The present work introduced a framework of developing comprehensive extended vehicular trajectory data under heterogeneous non-lane-based traffic conditions like the NGSIM datasets in the United States. Due to the absence of automation and instrumentation, and even the lack of sensor deployment on roads in developing economies like India, it...
journal article 2021
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Nagalur Subraveti, H.H.S. (author), Srivastava, Anupam (author), Ahn, Soyoung (author), Knoop, V.L. (author), van Arem, B. (author)
This paper presents a novel approach to improve traffic throughput near diverge and weave bottlenecks in mixed traffic with human-driven vehicles (HDVs) and connected automated vehicles (CAVs). This is done by the strategic assignment of CAVs across lanes. The main principle is to induce strategic and necessary lane changes (LCs) (by CAVs and...
journal article 2021
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Madadi, B. (author), van Nes, R. (author), Snelder, M. (author), van Arem, B. (author)
With the advent of automated vehicles (AVs), new infrastructure planning concepts such as subnetworks of AV-ready roads have been proposed to improve the performance of transportation networks and to promote the adoption of AVs. However, these subnetworks should evolve over time in response to the growing AV demand, which necessitates a multi...
journal article 2021
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Patil, Shubham (author), Raju, Narayana (author), Arkatkar, Shriniwas (author), Easa, Said (author)
The present research aims to understand the safety over the midblock road sections and proposes a safety framework using the conventional Time to Collision (TTC) measure. In the present work, the safety framework underlines a supporting structure connecting the actions of the surrounding vehicles and assesses the collisions changes for a given...
journal article 2021
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Soni, Shubham (author)
Advancements in technology are bringing Automated vehicles (AVs) closer to reality and it is not so far in future when these vehicles will have a significant penetration rate in our existing transport network. However, in the early phases of automation, penetration rate of these vehicles will be very low. This would lead to a mixed traffic...
master thesis 2020
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Schneider, C.C.N. (author)
Signalized urban intersections are bottlenecks for traffic and cause congestion. To improve traffic signal plans, research efforts have been made to create self-adaptive traffic controllers, i.e. controllers which adapt in real-time to the current traffic demand based on connected vehicle data. Past research on self-adaptive controllers has...
master thesis 2020
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Wierbos, M.J. (author), Knoop, V.L. (author), Hanseler, F.S. (author), Hoogendoorn, S.P. (author)
Bicycles are gaining popularity as a mode of transport resulting in a mixed bicycle–car traffic situation on urban roads. Cyclists however, are hardly included in traffic flow models which complicates the design of safe and congestion-free traffic situations. This work introduces class-specific speed functions based on two variables, being space...
journal article 2020
Searched for: subject%3A%22mixed%255C+traffic%22
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