Victor L. Knoop
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View article: Mycomobility: Analysis of human transport through a mycorrhizal analogy
Mycomobility: Analysis of human transport through a mycorrhizal analogy Open
The field of transportation research addresses the complexities of a particular sociotechnical system. Its usual focus is on human transportation systems, but non-human systems that effect transportation are also abundant in nature. This p…
View article: Unravelling uncertainty in trajectory prediction using a non-parametric approach
Unravelling uncertainty in trajectory prediction using a non-parametric approach Open
Predicting the trajectories of road agents is fundamental for self-driving cars. Trajectory prediction contains many sources of uncertainty in data and modelling. A thorough understanding of this uncertainty is crucial in a safety-critical…
View article: How Far Ahead Should Autonomous Vehicles Start Resolving Predicted Conflicts? Exploring Uncertainty-Based Safety-Efficiency Trade-Off
How Far Ahead Should Autonomous Vehicles Start Resolving Predicted Conflicts? Exploring Uncertainty-Based Safety-Efficiency Trade-Off Open
Resolving predicted conflicts is vital for safe and efficient autonomous vehicles (AV). In practice, vehicular motion prediction faces inherent uncertainty due to heterogeneous driving behaviours and environments. This spatial uncertainty …
View article: How predictable are macroscopic traffic states: a perspective of uncertainty quantification
How predictable are macroscopic traffic states: a perspective of uncertainty quantification Open
Traffic condition forecasting is fundamental for Intelligent Transportation Systems. Besides accuracy, many services require an estimate of uncertainty for each prediction. Uncertainty quantification must consider the inherent randomness i…
View article: Adaptive Cruise Control Utilizing Noisy Multi-Leader Measurements: A Learning-Based Approach
Adaptive Cruise Control Utilizing Noisy Multi-Leader Measurements: A Learning-Based Approach Open
A substantial number of vehicles nowadays are equipped with adaptive cruise control (ACC), which adjusts the vehicle speed automatically. However, experiments have found that commercial ACC systems which only detect the direct leader ampli…
View article: Distil the informative essence of loop detector data set: Is network-level traffic forecasting hungry for more data?
Distil the informative essence of loop detector data set: Is network-level traffic forecasting hungry for more data? Open
Network-level traffic condition forecasting has been intensively studied for decades. Although prediction accuracy has been continuously improved with emerging deep learning models and ever-expanding traffic data, traffic forecasting still…
View article: Macroscopic analysis and modelling of multi-class, flexible-lane traffic
Macroscopic analysis and modelling of multi-class, flexible-lane traffic Open
An excessive demand of vehicles to a motorway bottleneck leads to traffic jams. Motorbikes are narrow and can drive next to each other in a lane, or in-between lanes in low speeds. This paper analyses the resulting traffic characteristics …
View article: Large Car-Following Data Based on Lyft Level-5 Open Dataset: Following Autonomous Vehicles vs. Human-Driven Vehicles
Large Car-Following Data Based on Lyft Level-5 Open Dataset: Following Autonomous Vehicles vs. Human-Driven Vehicles Open
Car-Following (CF), as a fundamental driving behaviour, has significant influences on the safety and efficiency of traffic flow. Investigating how human drivers react differently when following autonomous vs. human-driven vehicles (HV) is …
View article: Hysteresis and the Unobserved Congestion Branch in the Macroscopic Fundamental Diagram: Theoretical Considerations and Modeling
Hysteresis and the Unobserved Congestion Branch in the Macroscopic Fundamental Diagram: Theoretical Considerations and Modeling Open
The macroscopic fundamental diagram (MFD) is developed to describe traffic operations aggregated over an area. The MFD is defined by network traffic states as a relationship between the accumulation of vehicles and flow or speed of vehicle…
View article: Game-theoretical approach to decentralized multi-drone conflict resolution and emergent traffic flow operations
Game-theoretical approach to decentralized multi-drone conflict resolution and emergent traffic flow operations Open
This paper introduces decentralized control concepts for drones using differential game theory. The approach optimizes the behavior of an ego drone, assuming the anticipated behavior of the opponent drones using a receding horizon approach…
View article: Large Car-following Data Based on Lyft level-5 Open Dataset: Following Autonomous Vehicles vs. Human-driven Vehicles
Large Car-following Data Based on Lyft level-5 Open Dataset: Following Autonomous Vehicles vs. Human-driven Vehicles Open
Car-Following (CF), as a fundamental driving behaviour, has significant influences on the safety and efficiency of traffic flow. Investigating how human drivers react differently when following autonomous vs. human-driven vehicles (HV) is …
View article: Capacity of a constrained urban airspace: Influencing factors, analytical modelling and simulations
Capacity of a constrained urban airspace: Influencing factors, analytical modelling and simulations Open
The traffic density of small aerial vehicles operating within urban environments is expected to increase significantly in the near future. This urban environment is highly constrained due to being limited to the low-altitude airspace direc…
View article: Analysis of Stochasticity and Heterogeneity of Car-Following Behavior Based on Data-Driven Modeling
Analysis of Stochasticity and Heterogeneity of Car-Following Behavior Based on Data-Driven Modeling Open
Traffic dynamics on freeways are stochastic in nature because of errors in perception and operation of drivers as well as the heterogeneity between and within drivers. This stochasticity is often represented in car-following models by a st…
View article: Social Interactions on Multi-Lane Motorways: Towards a Theory of Impacts
Social Interactions on Multi-Lane Motorways: Towards a Theory of Impacts Open
Recent empirical work has revealed that drivers have different lane change strategies. These strategies help to understand driver heterogeneity and decision stochasticity, which are both often lacking in microscopic models. In this paper w…
View article: Unprotected Left-Turn Behavior Model Capturing Path Variations at Intersections
Unprotected Left-Turn Behavior Model Capturing Path Variations at Intersections Open
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. T…
View article: How gaps are created during anticipation of lane changes
How gaps are created during anticipation of lane changes Open
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 follow…
View article: Microscopic Traffic Modeling Inside Intersections: Interactions Between Drivers
Microscopic Traffic Modeling Inside Intersections: Interactions Between Drivers Open
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 beca…
View article: Free Flow Capacity and Queue Discharge Rate: Long-Term Changes
Free Flow Capacity and Queue Discharge Rate: Long-Term Changes Open
Traffic jams are caused by a traffic demand that exceeds road capacity. Road capacity, therefore, is an important road feature. This capacity might change as function of time, even for the same road stretch, owing to changing driving behav…
View article: Lane Change Control Combined with Ramp Metering: A Strategy to Manage Delays at On-Ramp Merging Sections
Lane Change Control Combined with Ramp Metering: A Strategy to Manage Delays at On-Ramp Merging Sections Open
Control measures at merging locations aimed at either the mainline traffic or on-ramp traffic do not lead to a fairness in the distribution of total delay across the two streams. This paper presents a control strategy of combining a lane c…
View article: Capacity Gains of Splitting Cross-Traffic into Multiple Sub-Streams
Capacity Gains of Splitting Cross-Traffic into Multiple Sub-Streams Open
Traffic flow might be limited by cross-traffic which has priority. A typical example of such a situation is a location where cyclists or pedestrians cross a stream of car traffic. Splitting the cross-traffic into two separate sub-streams (…
View article: Ramp Metering with Microscopic Gap Detection Algorithm Design and Empirical Acceleration Verification
Ramp Metering with Microscopic Gap Detection Algorithm Design and Empirical Acceleration Verification Open
Freeway on-ramp areas are susceptible to traffic congestion during peak hours. To delay or prevent the onset of congestion, ramp metering can be applied. A Ramp Metering Installation (RMI) controls the inflow from the on-ramp to the main l…