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Unprotected Left-Turn Behavior Model Capturing Path Variations at Intersections

Zhao, Jing (author), Knoop, V.L. (author), Sun, Jian (author), Ma, Zian (author), Wang, M. (author)

Path dispersion (the spatial distribution of vehicular paths) is an important feature of traffic flow inside intersections and differs from traffic flow running along traffic lanes at road segment, especially under conflicting movements. The path dispersion reflects the operational features of traffic flow and is related to driving behaviour,...

journal article 2023

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Bicycle Data-Driven Application Framework: A Dutch Case Study on Machine Learning-Based Bicycle Delay Estimation at Signalized Intersections Using Nationwide Sparse GPS Data

Yuan, Y. (author), Wang, Kaiyi (author), Duives, D.C. (author), Hoogendoorn, S.P. (author), Hoogendoorn-Lanser, S. (author), Lindeman, Rick (author)

Data-driven approaches are helpful for quantitative justification and performance evaluation. The Netherlands has made notable strides in establishing a national protocol for bicycle traffic counting and collecting GPS cycling data through initiatives such as the Talking Bikes program. This article addresses the need for a generic framework to...

journal article 2023

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Microscopic Traffic Modeling Inside Intersections: Interactions Between Drivers

Zhao, J. (author), Knoop, V.L. (author), Wang, M. (author)

Microscopic traffic flow models enable predictions of traffic operations, which allows traffic engineers to assess the efficiency and safety effects of roadway designs. Modeling vehicle trajectories inside intersections is challenging because there is an infinite number of possible paths in a two-dimensional space, and drivers can...

journal article 2023

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Improving the Utilization of Regenerative Energy and Shaving Power Peaks by Railway Timetable Adjustment

Wang, P. (author), Bešinović, Nikola (author), Goverde, R.M.P. (author), Corman, F. (author)

Employing regenerative braking in trains contributes to reducing the amount of energy used, especially when applied to commuter trains and to those used on very dense suburban networks. This paper presents a method to fine-tune the periodic timetable to improve the utilization of regenerative energy and to shave power peaks while maintaining...

journal article 2022

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Hierarchical Optimal Maneuver Planning and Trajectory Control at On-Ramps With Multiple Mainstream Lanes

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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Safety Performance Boundary Identification of Highly Automated Vehicles: A Surrogate Model-Based Gradient Descent Searching Approach

Wang, Y. (author), Yu, Rongjie (author), Qiu, Shuhan (author), SUN, J. (author), Farah, H. (author)

Highly automated vehicles (HAVs) have been introduced to the transportation system for the purpose of providing safer mobility. Considering the expected long co-existence period of HAVs and human-driven vehicles (HDVs), the safety operation of HAVs interacting with HDVs needs to be verified. To achieve this, HAVs' Operational Design Domain ...

journal article 2022

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Probabilistic Risk Metric for Highway Driving Leveraging Multi-Modal Trajectory Predictions

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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A single-layer approach for joint optimization of traffic signals and cooperative vehicle trajectories at isolated intersections

Liu, M. (author), Zhao, J. (author), Hoogendoorn, S.P. (author), Wang, M. (author)

A joint control approach that simultaneously optimizes traffic signals and trajectories of cooperative (automated) vehicle platooning at urban intersections is presented in this paper. In the proposed approach, the signal phase lengths and the accelerations of the controlled platoons are optimized to maximize comfort and minimize travel delay...

journal article 2022

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Prediction-Based Reachability Analysis for Collision Risk Assessment on Highways

Wang, X. (author), Li, Z. (author), Alonso-Mora, J. (author), Wang, M. (author)

Real-time safety systems are crucial components of intelligent vehicles. This paper introduces a prediction-based collision risk assessment approach on highways. Given a point mass vehicle dynamics system, a stochastic forward reachable set considering two-dimensional motion with vehicle state probability distributions is firstly established. We...

conference paper 2022

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A flock-like two-dimensional cooperative vehicle formation model based on potential functions

Hao, R. (author), Liu, M. (author), Ma, Wanjing (author), van Arem, B. (author), Wang, M. (author)

Due to the manoeuvre complexity, models describing the platoon formation process on urban roads are lacking in the literature. Inspired by flocking behaviours in nature, we proposed a two-dimensional model to describe connected automated vehicle (CAV) group dynamics based on the potential theory, which is composed of the elastic potential...

journal article 2022

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Decentralized coordination for truck platooning

Zeng, Yikai (author), Wang, M. (author), Rajan, R.T. (author)

Coordination for truck platooning refers to the active formation of a group of heavy-duty vehicles traveling at close spacing to reduce the overall truck operations costs. Conventionally, this coordination is achieved by optimizing various truck-related parameters, such as schedules, velocities, and routes, based on an objective function that...

journal article 2022

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An optimal control approach of integrating traffic signals and cooperative vehicle trajectories at intersections

Liu, M. (author), Zhao, J. (author), Hoogendoorn, S.P. (author), Wang, M. (author)

An integrated approach for optimising traffic signals and cooperative vehicle trajectories at urban intersections is proposed. The upper layer determines the optimal signals using enumeration and the lower layer optimises trajectories under each feasible signal plan. In the lower layer, platoon accelerations are optimised considering comfort...

journal article 2021

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Receding horizon cooperative platoon trajectory planning on corridors with dynamic traffic signal

Liu, M. (author), Hoogendoorn, S.P. (author), Wang, M. (author)

In this paper, a trajectory control approach using model predictive control is proposed for cooperative (automated) vehicles. This control approach optimizes accelerations of the controlled connected and automated vehicle (CAV) platoon along a corridor with signalized intersections. The objectives of the proposed approach are to maximize the...

journal article 2020

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Optimal Platoon Trajectory Planning Approach at Arterials

Liu, M. (author), Wang, M. (author), Hoogendoorn, S.P. (author)

Cooperative (automated) vehicles have the potential to enhance traffic efficiency and fuel economy on urban roads, especially at signalized intersections. An optimal control approach to optimize the trajectories of cooperative vehicles at fixed-timing signalized intersections along an arterial is presented. The proposed approach aims to...

journal article 2019

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Using advanced adaptive cruise control systems to reduce congestion at sags: An evaluation based on microscopic traffic simulation

Goni Ros, B. (author), Schakel, W.J. (author), Papacharalampous, Alexandros E. (author), Wang, M. (author), Knoop, V.L. (author), Sakata, Ichiro (author), van Arem, B. (author), Hoogendoorn, S.P. (author)

Sags are roadway sections along which the gradient increases gradually in the direction of traffic. Sags are generally bottlenecks in freeway networks. Previous research suggests that traffic management measures using advanced Adaptive Cruise Control (ACC) systems could reduce congestion on freeways, but little is known about their potential...

journal article 2019

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Calibration and validation for the vessel maneuvering prediction (VMP) model using AIS data of vessel encounters

Shu, Y. (author), Daamen, W. (author), Ligteringen, H. (author), Wang, M. (author), Hoogendoorn, S.P. (author)

The Vessel Maneuvering Prediction (VMP) model, which was developed in a previous work with the aim of predicting the interaction between vessels in ports and waterways, is optimized in this paper by considering the relative position and vessel size (length and beam). The calibration is carried out using AIS data of overtaking vessels in the...

journal article 2018

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Comparative assessment of safety indicators for vehicle trajectories on the highway

Mullakkal-Babu, F.A. (author), Wang, M. (author), Farah, H. (author), van Arem, B. (author), Happee, R. (author)

Safety measurement and analysis have been a challenging and well-researched topic in transportation. Conventionally, surrogate safety measures have been used as safety indicators in simulation models for safety assessment, in control formulations for driver assistance systems, and in data analysis of naturalistic driving studies. However,...

conference paper 2017

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String Stability of Heterogeneous Platoons with Non-connected Automated Vehicles

Wang, M. (author), Li, Honghai (author), GAO, Jian (author), Huang, Zichao (author), li, Bin (author), van Arem, B. (author)

It is expected that automated vehicles will gradually penetrate on public roads, resulting in mixed traffic in the next decades. This can impact traffic flow operations, especially the roadway capacity and flow stability. It is of paramount<br/>importance to understand and predict the implications of automated driving systems on traffic flow at...

conference paper 2017

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Connected variable speed limits control and car-following control with vehicle-infrastructure communication to resolve stop-and-go waves

Wang, M. (author), Daamen, W. (author), Hoogendoorn, S.P. (author), van Arem, B. (author)

The vision of intelligent vehicles traveling in road networks has prompted numerous concepts to control future traffic flow, one of which is the in-vehicle actuation of traffic control commands. The key of this concept is using intelligent vehicles as actuators for traffic control systems. Under this concept, we design and test a control...

journal article 2016

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Optimal lane change times and accelerations of autonomous and connected vehicles

Wang, M. (author), Hoogendoorn, S.P. (author), Daamen, W. (author), van Arem, B. (author), Happee, R. (author)

This contribution puts forward a flexible approach to model the decision-making or design controller for automated driving systems, where tactical-level lane change decisions and control-level accelerations are jointly evaluated based on iteratively solving an online optimization problem. The key idea is that automated vehicles determine lane...

conference paper 2016