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The Role of Real-time Information in Traffic Networks

Steensma, Philip (2024) The Role of Real-time Information in Traffic Networks. Integration Project, Industrial Engineering and Management.


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This research investigates the impact of Dynamic Toll pricing on traffic patterns and network performance using a Dynamic Traffic and Routing model. The study includes two stages, examining scenarios with both a constant and peak-based traffic inflow. The importance of this research lies in addressing the need for reducing traffic congestion and therefore reducing the average travel time experienced by drivers. Existing literature indicates the fact that drivers tend to minimise individual travel times, moving the network into a sub-optimal equilibrium, where average travel times are not minimised. The research aims to identify drivers' response to the introduction of Dynamic Toll and its impact on routing ratios, traffic density, and average travel times. Key findings present shifts in traffic distribution, with an increased volume of vehicles opting for the more distant route after the Dynamic Toll implementation. Resulting in an impact on the average travel times with a 5.39% reduction during peak hours, representing increased network performance. The importance of these findings is the fact of providing insights into the effectiveness of Dynamic Toll pricing in optimising traffic distribution and reducing average travel times. Ensuring this leads to less congested roads and a reduction in environmental and economic impact. Furthermore, these findings are important to traffic operators, to understand the behaviour of drivers on implemented Dynamic Toll prices assigned to specific links in a network, leading to an improved overall network performance and efficiency.

Item Type: Thesis (Integration Project)
Supervisor name: Monshizadeh Naini, N. and Hubl, A.
Degree programme: Industrial Engineering and Management
Thesis type: Integration Project
Language: English
Date Deposited: 02 Feb 2024 08:31
Last Modified: 02 Feb 2024 08:32

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