Stabilization of city-scale road traffic networks via macroscopic fundamental diagram-based model predictive perimeter control
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It is a well-known fact that nowadays reliable traffic data are an indispensable prerequisite for efficient traffic control and planning. Nevertheless, traffic monitoring in urban areas is still difficult and expensive due to complex traffic dynamics and r ...
Recently, the author proposed a new approach how to take advantage of common floating car data in context of urban traffic monitoring (cf. Neumann, 2009: Efficient queue length detection at traffic signals using probe vehicle data and data fusion, 16th ITS ...
This paper presents a methodology to develop motorway traffic risk identification models using individual vehicle traffic data, meteorological data and crash database for a study site at a two-lane-per-direction section on motorway A1 in Switzerland. We de ...
A simple real-time merging traffic control concept is proposed for efficient toll plaza management in cases where the total flow exiting from the toll booths exceeds the capacity of the downstream highway (or bridge, or tunnel), leading to congestion and r ...
Consideration was given to a well-known problem of traffic control at an individual intersection with minimal total delay. The constraints on control (duration of green light in the main direction) and phase variables (queue lengths along each direction) w ...
The DLR Traffic Data Platform (TDP) that is currently being developed by the German Aerospace Center (DLR) is an autonomous decentralised ITS system for distributed intelligent traffic data management and dissemination. Of course, there are many possibilit ...
Most of existing motorway traffic safety studies using disaggregate traffic flow data aim at developing models for identifying real-time traffic risks by comparing pre-crash and non-crash conditions. One of serious shortcomings in those studies is that non ...
Congestion is a phenomenon that arises in a variety of contexts. The most familiar representation is urban traffic congestion. Nonetheless, phenomenons such as prison cell congestion, hospital bed blocking or, at a cellular scale, ribosome congestion, also ...
Our goal is to develop motorway traffic risks identification models using disaggregate traffic data, meteorological data and crash database for a study site at a two-lane-per-direction section on motorway A1 in Urtenen-Schönbühl, Switzerland. We define tra ...
An operational framework for the demand calibration in DTA microsimulations from traffic counts is presented. The calibrated choice dimensions comprise but are not constrained to route choice, departure time choice, and destination choice. The mathematical ...