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Optimal re-routing strategy for CAV and HDV mixed traffic under a road closure: A simulation-based method

Wang, Chenliangge (author)

Against the backdrop of the increasing maturity of connected automatic driving technologies and the gradually expanding market share of CAVs, this thesis explores the optimal traffic management strategies to cope with road closures in the context of Connected and Automated Vehicles (CAVs) and Intelligent Transportation Systems (ITS). <br/>A...

master thesis 2024

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Cooperative lane-changing in mixed traffic: a deep reinforcement learning approach

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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Beyond behavioural change: Investigating alternative explanations for shorter time headways when human drivers follow automated vehicles

Jiao, Y. (author), Li, G. (author), Calvert, S.C. (author), van Cranenburgh, S. (author), van Lint, J.W.C. (author)

Integrating Automated Vehicles (AVs) into existing traffic systems holds the promise of enhanced road safety, reduced congestion, and more sustainable travel. Effective integration of AVs requires understanding the interactions between AVs and Human-driving Vehicles (HVs), especially during the transition period in which AVs and HVs coexist...

journal article 2024

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Receptiveness angle: A new surrogate safety measure for monitoring traffic safety

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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A multiclass simulation-based dynamic traffic assignment model for mixed traffic flow of connected and autonomous vehicles and human-driven vehicles

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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Human–machine coordination in mixed traffic as a problem of Meaningful Human Control

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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Robustness Analysis of Platoon Control for Mixed Types of Vehicles

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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Driving behavior in mixed traffic in combination with variable speed limit

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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Safety and Sustainable Development of Automated Driving in Mixed-Traffic Urban Areas—Considering Vulnerable Road Users and Network Efficiency

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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Behavioral adaptations of human drivers interacting with automated vehicles

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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Modeling Automated Driving in Microscopic Traffic Simulations for Traffic Performance Evaluations: Aspects to Consider and State of the Practice

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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How do the recognizability and driving styles of automated vehicles affect human drivers’ gap acceptance at T- Intersections?

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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Effects of External Human Machine Interfaces on Automated Vehicles' Communicative Interactions With Human Drivers

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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Addressing traffic breakdown at merge sections in mixed traffic

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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Modeling vehicle collision instincts over road midblock using deep learning

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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Multi-stage optimal design of road networks for automated vehicles with elastic multi-class demand

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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Developing Extended Trajectory Database for Heterogeneous Traffic like NGSIM Database

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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Stability Analysis of Mixed Traffic Flow using Car-Following Models on Trajectory Data

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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On lane assignment of connected automated vehicles: strategies to improve traffic flow at diverge and weave bottlenecks

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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Understanding Behavioural Adaptations of Human Drivers interacting with Automated Vehicles

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