Optimization of urban road traffic in Intelligent Transport Systems

Stanciu, Elena Alina; Moise, Ilona Madalina; Nemtoi, Lacramioara Mihaela

doi:10.1109/icate.2012.6403458

Cited by 11 publications

(2 citation statements)

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“…In addition to safety applications, V2V and V2I communications can be used to enhance traffic efficiency [2] and also to deliver infotainment services.…”

Section: Introductionmentioning

confidence: 99%

Enhanced connectivity in vehicular ad-hoc networks via V2V communications

Yaacoub

2013

2013 9th International Wireless Communications and Mobile Computing Conference (IWCMC)

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Vehicle to vehicle (V2V) communications to enhance the downlink and uplink connectivity in vehicular networks are studied. Effective rate formulations for the uplink and downlink directions are presented and analyzed, while considering IEEE 802.11p for short range communications between vehicles, and the Long Term Evolution (LTE) for communications between the vehicles and base stations over long range cellular links. Simulation results show the importance of V2V communications, and describe the performance tradeoffs between the transmit power, number of cooperating vehicles, and LTE resource allocation.Index Terms-Vehicle to vehicle communications, vehicular ad hoc networks, LTE, IEEE 802.11p, relay.

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“…In addition to safety applications, V2V and V2I communications can be used to enhance traffic efficiency [2] and also to deliver infotainment services.…”

Section: Introductionmentioning

confidence: 99%

Enhanced connectivity in vehicular ad-hoc networks via V2V communications

Yaacoub

2013

2013 9th International Wireless Communications and Mobile Computing Conference (IWCMC)

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“…Traffic congestion is a major problem around the world. Traffic optimization tools and Intelligent Transport Systems (ITS) are designed to provide real-time control and route guidance for drivers and to optimize the performance of traffic networks (Stanciu et al, 2012). Several methods and approaches were developed to accomplish this task.…”

Section: Introductionmentioning

confidence: 99%

A constrained filtering algorithm for freeway traffic state estimation

Risso

Bhouri²,

Rubiales

et al. 2018

Transportmetrica A: Transport Science

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A real-time traffic state estimation algorithm is developed and applied to a freeway. The evolution of the traffic is defined by a second order macroscopic model which computes, for each section of the freeway, the density and the mean speed according to several non linear equations. Different extensions of the Kalman method were already applied to this model, though none of them considers the natural constraints in the state variables. In this work, a new method that incorporates those natural constraints, is applied to the macroscopic model obtaining better results. To validate the proposed method, a simulation over a freeway section was made using two different tools: the macroscopic simulator called METANET and the microscopic simulator called SUMO. Promising results were obtained using both approaches.

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An Efficient Hybrid Evolutionary Algorithm for the Smart Vehicle Routing Problem

Ben-Romdhane

Krichen

2020

Smart Technologies for Smart Cities

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Optimization of urban road traffic in Intelligent Transport Systems

Cited by 11 publications

References 0 publications

Enhanced connectivity in vehicular ad-hoc networks via V2V communications

Enhanced connectivity in vehicular ad-hoc networks via V2V communications

A constrained filtering algorithm for freeway traffic state estimation

An Efficient Hybrid Evolutionary Algorithm for the Smart Vehicle Routing Problem

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