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Procedia Computer Science
Article . 2016 . Peer-reviewed
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Procedia Computer Science
Article
License: CC BY NC ND
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Procedia Computer Science
Article . 2016
License: CC BY NC ND
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Traffic Flow Optimization on Freeways

Authors: Bruno Carlo Rampinelli Rota; Milan Simic;

Traffic Flow Optimization on Freeways

Abstract

AbstractIntelligent Transportation Systems (ITSs) are advanced technologies and applications integrated in transportation networks with the aim of creating a safe and efficient transportation environment. ITSs are developing both in the cities, that will become smart cities, and on freeways, by designing smart roads. Focusing on freeways, tollbooths currently represent serious challenges in many countries. Most commonly used payment toll systems create traffic congestion with the consequent increase of traffic pollution, time delays and negative results in terms of vehicular throughput and freeways’ efficiency. ITSs integrated with new arriving Unmanned Ground Vehicles (UGVs) and novel toll collections designs, such as Open Road Tolling (ORT), could remove, or at least, mitigate these bottlenecks. This paper presents traffic flow models and algorithms implemented in IBM ILOG CPLEX Optimization Studio. Modeling and comprehensive investigation, using real data, brings advantages in terms of traffic throughput and optimization.

Related Organizations
Keywords

VANET, Throughput Optimisation, Open Road Tolling, Traffic flow

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    popularity
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    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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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!
11
Top 10%
Top 10%
Average
gold