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Improving Traffic Efficiency With Lane Guidance Based on Desired Speeds

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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Stochastic-priority-integrated signal coordination considering connected bus operation uncertainties

Ou, S. (author), An, Kun (author), Ma, Wanjing (author), Hegyi, A. (author), van Arem, B. (author)

Multimodal arterial signal coordination for buses and passenger vehicles can improve arterial travel smoothness and efficiency. However, uncertainty in bus operations requires signal priority at intersections, which impacts coordination and increases stop times for other traffic types. Therefore, this study proposes a stochastic priority...

journal article 2023

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Structure-free model-based predictive signal control: A sensitivity analysis on a corridor with spillback

Verkaik-Poelman, M.C. (author), Hegyi, A. (author), Verbraeck, A. (author), van Lint, J.W.C. (author)

Model-based predictive signal control is a popular method to pro-actively control traffic and to reduce the effects of congestion in urban networks. In combination with structure-free controllers, which adapt signal settings in arbitrary order and combination (no imposed cycles), these predictive control methods have a high potential to...

journal article 2023

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A new reinforcement learning-based variable speed limit control approach to improve traffic efficiency against freeway jam waves

Han, Yu (author), Hegyi, A. (author), Zhang, Le (author), He, Zhengbing (author), Chung, Edward (author), Liu, Pan (author)

Conventional reinforcement learning (RL) models of variable speed limit (VSL) control systems (and traffic control systems in general) cannot be trained in real traffic process because new control actions are usually explored randomly, which may result in high costs (delays) due to exploration and learning. For this reason, existing RL-based...

journal article 2022

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Optimized Speed Trajectories for Cyclists, Based on Personal Preferences and Traffic Light Information-A Stochastic Dynamic Programming Approach

Dabiri, A. (author), Hegyi, A. (author), Hoogendoorn, S.P. (author)

The literature on green mobility and eco-driving in urban areas has burgeoned in recent years, with special attention to using infrastructure to vehicle (I2V) communications to obtain optimal speed trajectory which minimize the economic and environmental costs. This article shares the concept with these studies but turns the spotlight on...

journal article 2022

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Sensitivity Analysis to Define Guidelines for Predictive Control Design

Verkaik-Poelman, M.C. (author), Hegyi, A. (author), Verbraeck, A. (author), van Lint, J.W.C. (author)

Signalized traffic control is important in traffic management to reduce congestion in urban areas. With recent technological developments, more data have become available to the controllers and advanced state estimation and prediction methods have been developed that use these data. To fully benefit from these techniques in the design of...

journal article 2020

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Efficient freeway MPC by parameterization of ALINEA and a speed-limited area

van de Weg, Goof Sterk (author), Hegyi, A. (author), Hoogendoorn, S.P. (author), De Schutter, B.H.K. (author)

Freeway congestion can reduce the freeway throughput due to the capacity drop or due to blocking caused by spillback to upstream ramps. Research has shown that congestion can be reduced by the application of ramp metering and variable speed limits. Model predictive control is a promising strategy for the optimization of the ramp metering...

journal article 2019

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Design analysis of a decentralized equilibrium-routing strategy for intelligent vehicles

Mahajan, N. (author), Hegyi, A. (author), Hoogendoorn, S.P. (author), van Arem, B. (author)

Intelligent vehicle technologies are opening new possibilities for decentralized vehicle routing systems, suitable for regulating large traffic networks, and at the same time, capable of providing customized advice to individual vehicles. In this study, we perform a rigorous simulation-based analysis of an in-vehicle routing strategy that...

journal article 2019

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A Hierarchical Control Framework for Coordination of Intersection Signal Timings in All Traffic Regimes

van de Weg, Goof Sterk (author), Vu, Hai L. (author), Hegyi, A. (author), Hoogendoorn, S.P. (author)

In this paper, we develop a hierarchical approach to optimize the signal timings in an urban traffic network taking into account the different dynamics in all traffic regimes. The proposed hierarchical control framework consists of two layers. The first layer--the network coordination layer--uses a model predictive control strategy based on a...

journal article 2018

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Optimal lane guidance for improving traffic efficiency on homogeneous freeway sections

Mahajan, N. (author), Hegyi, A. (author), Hoogendoorn, S.P. (author), van Arem, B. (author)

conference paper 2018

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An Extended Linear Quadratic Model Predictive Control Approach for Multi-Destination Urban Traffic Networks

Han, Y. (author), Hegyi, A. (author), Yuan, Y. (author), Roncoli, Claudio (author), Hoogendoorn, S.P. (author)

This paper extends an existing linear quadratic model predictive control (LQMPC) approach to multi-destination traffic networks, where the correct origin-destination (OD) relations are preserved. In the literature, the LQMPC approach has been presented for efficient routing and intersection signal control. The optimization problem in the...

journal article 2018

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Resolving freeway jam waves by discrete first-order model-based predictive control of variable speed limits

Han, Y. (author), Hegyi, A. (author), Yuan, Y. (author), Hoogendoorn, S.P. (author), Papageorgiou, Markos (author), Roncoli, Claudio (author)

In this paper we develop a fast model predictive control (MPC) approach for variable speed limit coordination to resolve freeway jam waves. Existing MPC approaches that are based on the second-order traffic flow models suffer from high computation load due to the non-linear and non-convex optimization formulation. In recent years, simplified...

journal article 2017

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Effects of Dynamic Speed Limits on a Dutch Freeway

Plana, J. (author), Soriguera, F. (author), Hegyi, A. (author)

This paper describes the effects of dynamic speed limit (DSL) control on a three-lane section on the A13 Freeway in Rotterdam, Netherlands. The main objective was to contrast the latest empirical findings from an experiment conducted in Barcelona, Spain, in which the main line metering capability (i.e., gating, or main line flow restriction) was...

journal article 2016

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New Extended Discrete First-Order Model to Reproduce Propagation of Jam Waves

Han, Y. (author), Yuan, Y. (author), Hegyi, A. (author), Hoogendoorn, S.P. (author)

This paper proposes an extension of the discrete Lighthill–Whitham–Richards model of the cell transmission model type to reproduce capacity drop and the propagation of jam waves. Recent studies have tried to incorporate the capacity drop into discrete first-order traffic flow models for traffic optimization purposes. It was found that the inflow...

journal article 2016

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Urban network throughput optimization via model predictive control using the link transmission model

Van de Weg, G.S. (author), Keyvan Ekbatani, M. (author), Hegyi, A. (author), Hoogendoorn, S.P. (author)

Developing practicable and efficient real-time signal control strategies for urban road networks is a major challenge with significant scientific and practical relevance. For the sake of practical feasibility, many urban traffic control strategies are based on simplified models. In this way, a trade-off can be made between controller accuracy,...

conference paper 2016

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Robust, Optimal, Predictive, and Integrated Road Traffic Control: Research proposal

Van de Weg, G.S. (author), Hegyi, A. (author), Hoogendoorn, S.P. (author)

The development of control strategies for traffic lights, ramp metering installations, and variable speed limits to improve the throughput of road traffic networks can contribute to a more efficient use of road networks. In this project, a hierarchical controller will be developed for the improvement of the throughput of a road traffic network....

conference paper 2014

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Spoken bestaan niet

Hegyi, A. (author), Van de Weg, G.S. (author)

journal article 2014

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Spoken bestaan niet: Hoe filegolven ontstaan en hoe je ze kunt voorkomen

Hegyi, A. (author), Van de Weg, G.S. (author)

Er is momenteel veel aandacht voor de files die in de volksmond spookfiles heten. Maar komen ze echt ‘uit het niets’, zoals het lijkt als je er in- en even later weer uitrijdt? In deze tutorial van NM Magazine leggen de onderzoekers Andreas Hegyi en Goof van de Weg van de TU Delft uit hoe dit type files ontstaat en vooral: wat er aan te doen is.

journal article 2014

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Improving moving jam detection performance with V2I communication

Netten, B. (author), Hegyi, A. (author), Wang, M. (author), Schakel, W.J. (author), Yuan, Y. (author), Schreiter, T. (author), Van Arem, B. (author), Van Leeuwen, C. (author), Alkim, T. (author)

conference paper 2013

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Een introductie op de verkeersstroomtheorie

Knoop, V.L. (author), Hegyi, A. (author)

Met ingang van deze uitgave zal NM Magazine een aantal tutorials over (dynamisch) verkeersmanagement opnemen. Ons doel? Een groter publiek kennis laten maken met de principes van en de wetenschappelijke basis onder verkeersmanagement. In deze eerste bijdrage maken we kennis met de verkeersstroomtheorie. Dr. Victor Knoop en dr. ir. Andreas Hegyi...

journal article 2012