Dynamic Geo-Fencing for Polycentric Congestion Management: A Simulation-Based Analysis

Our cities are growing at an unprecedented pace. The flexible use of metropolitan infrastructures is the key to maintaining, if not increasing, the current quality of life. The combined use of geo-fence technology and connected vehicles can be the tool to achieve this flexibility. In this paper, we take a first step in the evaluation of the...

Travel demand matrix estimation for strategic road traffic assignment models with strict capacity constraints and residual queues

This paper presents an efficient solution method for the matrix estimation problem using a static capacity constrained traffic assignment (SCCTA) model with residual queues. The solution method allows for inclusion of route queuing delays and congestion patterns besides the traditional link flows and prior demand matrix whilst the...

Trading activity and market liquidity in tradable mobility credit schemes

The interest in tradable mobility credits (TMC) is growing steadily. Compared to existing instruments, its cap-and-trade design for the demand side ensures that a limited quantity, e.g., traffic and related emissions, can by design not be exceeded. However, most TMC schemes are market-based financial instruments that can only be successful,...

Empirical MFDs using Google Traffic Data

<br/>The Macroscopic Fundamental Diagram (MFD) describes the relation between accumulation and speed in a zone. While theoretically expected, empirical validations have been done with limited numbers of floating car (e.g., taxi) data, and loop detectors. This paper will verify existence, shape and crispness of the MFD using Floating Car Data ...

Capacity drop: A comparison between stop-and-go wave and standing queue at lane-drop bottleneck

Modeling driving behavior and traffic flow at sags (paper)

Sags are freeway sections along which gradient changes significantly from downwards to upwards. Sags are often bottlenecks in freeway networks. Capacity decreases due to changes in car-following behavior. We present a microscopic traffic flow model that describes driving behavior and traffic flow dynamics at sags. The model includes a new...

Modeling driving behavior and traffic flow at sags (lecture)

Sags are freeway sections along which gradient changes significantly from downwards to upwards. Sags are often bottlenecks in freeway networks. Capacity decreases due to changes in car-following behavior. We present a microscopic traffic flow model that describes driving behavior and traffic flow dynamics at sags. The model includes a new...

Linear-Quadratic Model Predictive Control for Urban Traffic Networks

Advancements in the efficiency, quality and manufacturability of sensing and communication systems are driving the field of intelligent transport systems (ITS) into the twenty first century. One key aspect of ITS is the need for efficient and robust integrated network management of urban traffic networks. This paper presents a general model...

Data requirements for traffic control on a macroscopic level

With current techniques, traffic monitoring and control is a data intensive process. Network control on a higher level, using high level variables, can make this process less data demanding. The macroscopic fundamental diagram relates accumulation, i.e. the number of vehicles in an area, to the network performance, but only holds for situations...