Searched for: subject%3A%22lane%255C+change%22
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Mahajan, N. (author), Hegyi, A. (author), Hoogendoorn, S.P. (author), van Arem, B. (author)
Drivers initiate a discretionary lane change when they perceive an anticipated improvement in their own driving condition from moving to another lane. However, such a lane change can slow down other vehicles on the target lane, and even worse initiate a disturbance. In this work, we argue that the blocking effect triggered by individual lane...
journal article 2024
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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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Razmi Rad, S. (author), Farah, H. (author), Taale, Henk (author), van Arem, B. (author), Hoogendoorn, S.P. (author)
Dedicated Lanes (DLs) have been proposed as a potential alternative for the deployment of Connected and Automated Vehicles (CAVs) to facilitate platooning and increase motorway capacity. However, the impact of the presence and utilization policy of such a lane on drivers’ preference to use automation and their behaviour has not yet been...
journal article 2024
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Chen, K. (author), Li, Zhibin (author), Liu, Pan (author), Knoop, V.L. (author), Han, Yu (author), Jiao, Y. (author)
A lane-changing (LC) maneuver may cause the follower in the target lane (new follower) to decelerate and give up space, potentially affecting crash risk and traffic flow efficiency. In congested flow, a more aggressive LC maneuver occurs where the lane changer is partially next to the new follower and creates negative gaps, namely negative...
journal article 2024
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Chen, Kequan (author), Knoop, V.L. (author), Liu, Pan (author), Li, Zhibin (author), Wang, Yuxuan (author)
Lane-changing (LC) in congested traffic has been identified as a trigger for the sudden deceleration behavior of the new follower in the target lane, leading to severe traffic disturbances. Thus, investigating the response of the new follower to an LC maneuver is an important research topic in the literature. To date, numerous efforts have...
journal article 2023
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Chen, Kequan (author), Knoop, V.L. (author), Liu, Pan (author), Li, Zhibin (author), Wang, Yuxuan (author)
The pre-insertion process called anticipation is an essential component of a lane-changing manoeuvre. There is little empirical research regarding the impact of anticipation. Thus, this paper aims to explore the behaviour of the new follower (NF) in the target lane when it encounters anticipation by using new trajectory datasets. The changing...
journal article 2023
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Olthof, Lotte (author)
One of the current challenges withholding personalised lane-level driving advice is the inaccuracy and error of GPS signal from commonly used navigation devices and mobile phones. These GPS signals have an uncertainty margin up to several meters, therefore potentially indicating the vehicle location on a different lane than the actual lane it...
master thesis 2022
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Chen, N. (author), van Arem, B. (author), Wang, M. (author)
Connected Automated Vehicles (CAVs) have the potential to improve traffic operations when they cooperatively maneuver in merging sections. State-of-the-art approaches in cooperative merging either build on heuristics solutions or prohibit mainline CAVs to change lane on multilane highways. This paper proposes a hierarchical cooperative...
journal article 2022
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Wang, X. (author), Alonso-Mora, J. (author), Wang, M. (author)
Road traffic safety has attracted increasing research attention, in particular in the current transition from human-driven vehicles to autonomous vehicles. Surrogate measures of safety are widely used to assess traffic safety but they typically ignore motion uncertainties and are inflexible in dealing with two-dimensional motion. Meanwhile,...
journal article 2022
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Sharma, Salil (author), van Lint, J.W.C. (author), Tavasszy, Lorant (author), Snelder, M. (author)
This paper studies and compares the gap selection process of multiple vehicle classes (passenger cars, delivery vans, and trucks) within their discretionary lane changing activities. Given a trajectory or a sequence of gap selection decisions, we aim to predict whether a vehicle will change or keep a lane. For this purpose, we use a large...
journal article 2022
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Bindu Prasad, Lokin Lakshmindra (author)
Automatic lane change identification can be used in warning systems that alert the driver when drifting off-lane, or in lane-specific navigation systems. Furthermore, they may help road authorities plan better road network design and infrastructure. Though lane-departure warning systems are already commercially available, these systems rely on...
master thesis 2021
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van Leeuwen, Nico (author)
This study proposes an LCA system that provides haptic guidance during lane changes. This system is fully integrated with LKA functionality to provide continuous lateral support during highway driving. Two different system configurations of this LCA are investigated. One is a generalized LCA that provides lane change reference trajectories based...
master thesis 2021
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Pool, Lourens (author)
Optimization of traffic signal control has been widely investigated by means of model-based strategies. In 2012 a new model-based controller was published, named Schedule-driven Intersection Control (SCHIC). This controller uses a job-scheduling algorithm to minimize the cumulative delay for all observed vehicles. The algorithms of SCHIC are at...
master thesis 2021
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van den Haak, Daniel (author)
Lane change decision-making is an important challenge for automated vehicles, urging the need for high performance algorithms that are able to handle complex traffic situations. Deep reinforcement learning (DRL), a machine learning method based on artificial neural networks, has recently become a popular choice for modelling the lane change...
master thesis 2021
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Sharma, Salil (author), Papamichail, Ioannis (author), Nadi Najafabadi, A. (author), van Lint, J.W.C. (author), Tavasszy, Lorant (author), Snelder, M. (author)
Cooperative intelligent transportation systems (C-ITS) support the exchange of information between vehicles and infrastructure (V2I or I2V). This paper presents an in-vehicle C-ITS application to improve traffic efficiency around a merging section. The application balances the distribution of traffic over the available lanes of a freeway, by...
journal article 2021
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Razmi Rad, S. (author), Farah, H. (author), Taale, Henk (author), van Arem, B. (author), Hoogendoorn, S.P. (author)
Connected and automated vehicles (CAVs) are expected to enhance traffic efficiency by driving at shorter time headways, and traffic safety by shorter reaction times. However, one of the main concerns regarding their deployment is the mixed traffic situation, in which CAVs and manually driven vehicles (MVs) share the same road. This study...
journal article 2021
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Sharma, Salil (author), Papamichail, Ioannis (author), Nadi Najafabadi, A. (author), van Lint, J.W.C. (author), Tavasszy, Lorant (author), Snelder, M. (author)
Cooperative intelligent transportation systems (C-ITS) support the exchange of information between vehicles and infrastructure (V2I or I2V). This paper presents an in-vehicle C-ITS application to improve traffic efficiency around a merging section. This application balances the distribution of traffic over the available lanes of a freeway, by...
journal article 2021
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Ajanovic, Zlatan (author), Klomp, Matthijs (author), Lacevic, Bakir (author), Shyrokau, B. (author), Pretto, Paolo (author), Islam, Hassaan (author), Stettinger, Georg (author), Horn, Martin (author)
Closed-loop validation of autonomous vehicles is an open problem, significantly influencing development and adoption of this technology. The main contribution of this paper is a novel approach to reproducible, scenario-based validation that decouples the problem into several sub-problems, while avoiding to brake the crucial couplings. First,...
conference paper 2020
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Mullakkal-Babu, F.A. (author), Wang, M. (author), van Arem, B. (author), Happee, R. (author)
Existing microscopic traffic models represent the lane-changing maneuver as a continuous and uninterrupted lateral movement of the vehicle from its original to the target lane. We term this representation as Continuous Lane-Changing (CLC). Recent empirical studies find that not all lane-changing maneuvers are continuous; the lane-changer may...
journal article 2020
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Nagalur Subraveti, H.H.S. (author), Knoop, V.L. (author), van Arem, B. (author)
For better and more efficient motorway traffic control strategies on a lane level, accurate modelling and prediction of traffic conditions is essential. Existing real-time traffic state estimation methods aggregate traffic across lanes. Hence, there is a need for lane-specific traffic flow models. The majority of the existing macroscopic lane...
conference paper 2020
Searched for: subject%3A%22lane%255C+change%22
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