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https://doi.org/10.1109/mtits....
Article . 2017 . Peer-reviewed
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Transportation systems with connected and non-connected vehicles: Optimal traffic control

Authors: De Luca, Stefano; Di Pace, Roberta; DI FEBBRARO, ANGELA; SACCO, NICOLA;

Transportation systems with connected and non-connected vehicles: Optimal traffic control

Abstract

The paper aims to develop a consistent framework for traffic management allowing for the joint optimization of connected vehicle paths and departure times and of signal control. The procedure is based on the communication between connected vehicles and signal controller (Vehicle to Infrastructure communications). Thus, the optimization procedure is characterized by two steps: the first refers to the adaptive traffic signal optimization, whilst the second refers to the optimization of routes and departure times of connected vehicles. In particular, as regards the adaptive traffic signal control, stage durations and sequences, as well as the node offsets, are considered as decision variables optimized with a scheduled synchronization method based on a meta-heuristic algorithm. On the contrary, the optimization of connected vehicle paths and departure times were considered as decision variables through a Mixed Integer Mathematical Program. Finally, as regards the traffic flow model, a further development of the Cell Transmission Model was considered. The whole framework was tested on a toy network.

Country
Italy
Keywords

connected vehicles; traffic control; vehicles routing; Modeling and Simulation; Transportation; Computer Networks and Communications; Artificial Intelligence

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    5
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Top 10%
Average
Average
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