Vehicular Speed Learning in the Future Smart-cities' Paradigm

Date

2017-10-12

Author

Al-Turjman, Fadi

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

131
views

0
downloads

In this paper we propose a vehicular speed learning framework that recommends best traffic load based on a particularly required latency and throughput conditions to be achieved. The framework is composed of two main layers, the base layer and two enhancement layers. The base layer aims at providing an in-vehicle wireless receiver to inform the driver about the speed limit within the area he/she is in. The first enhancement layer aims at providing the driver with a high level intelligence that can be utilized for various applications. The second enhancement layer aims at utilizing smartphones as an intelligent sensor. By having the vehicle speed and the speed limits available, the smartphone can be used to detect particular conditions such as congestions, accidents or defects in the roads. Observing drivers' monitored behavior while given the current road conditions, the system extrapolates from these new and other previously available observations to predict an optimal speed limit. In this fashion, the framework is able to continuously adapt and learn autonomously to manage efficient and safe transportation.

Subject Keywords

Smart-Cities Paradigm, Delay-Tolerance, Vehicular Speed Learning

URI

https://hdl.handle.net/11511/63811

DOI

https://doi.org/10.1109/lcn.workshops.2017.65

Conference Name

IEEE 42nd Conference on Local Computer Networks (IEEE LCN)

Collections

Engineering, Conference / Seminar

Suggestions

OpenMETU
Core

Road Target Tracking with an Approximative Rao-Blackwellized Particle Filter Skoglar, Per; Orguner, Umut; Tornqvist, David; Gustafsson, Fredrik (2009-07-09) Using prior information about the road network will improve the estimation performance for a road constrained target significantly. Several estimation methods have been proposed to handle the multi-modality that arise in a road target tracking application. One popular filter suitable for this kind of non-linear problems is the Particle Filter, but a major drawback is that the Particle filter requires a large amount of particles as the state dimension increases to maintain a good approximation of the filteri...
Traffic Network Control From Temporal Logic Specifications Coogan, Samuel; Aydın Göl, Ebru; Arcak, Murat; Belta, Calin (2016-06-01) We propose a framework for generating a signal control policy for a traffic network of signalized intersections to accomplish control objectives expressible using linear temporal logic. By applying techniques from model checking and formal methods, we obtain a correct-by-construction controller that is guaranteed to satisfy complex specifications. To apply these tools, we identify and exploit structural properties particular to traffic networks that allow for efficient computation of a finite-state abstract...
CAR Approach for the Internet of Things Al-Turjman, Fadi; GÜNAY, MELİH (2016-12-01) In this paper, we propose a novel context-aware routing (CAR) approach that uses the cloud as an extra level of data-request processing to improve the network performance in terms of data delivery. Data delivery in the Internet of Things depends heavily on numerous factors, such as the amount of data, end-to-end in-network delay, and setup time. The CAR approach is significantly improving the current request-response model, especially while the exchanged in-network data amount increases and data are sent fr...
MIPS Extension for a TCAM Based Parallel Architecture for Fast IP Lookup Erdem, Oguzhan; Bazlamaçcı, Cüneyt Fehmi (2009-09-16) This paper discusses the feasibility of the use of minimum independent prefix set (MIPS) algorithm in a ternary content addressable memory (TCAM) based parallel architecture proposed for high speed packet switching. MIPS algorithm is proposed earlier to transform a forwarding table into one that contains the minimum independent prefix set. In this paper we propose MIPS algorithm to be integrated into a TCAM based parallel IP lookup engine. We first analyze the table compression performance of the MIPS algor...
Subcarrier allocation in OFDMA with time varying channel and packet arrivals Toktas, Engin; Uysal-Biyikoglu, Elif; Yılmaz, Ali Özgür (2009-12-01) This study considers the design of efficient low-complexity algorithms for dynamic allocation of subcarriers to users in a multiuser transmitter using Orthogonal Frequency Division. The effects upon throughput and delay performances of several canonical algorithms of varying the number of users, the number of subcarriers, and the statistical characteristics of incoming packets are investigated. Consequently, a subcarrier allocation algorithm with low computational complexity and satisfactory performance in ...

Citation Formats

F. Al-Turjman, “Vehicular Speed Learning in the Future Smart-cities’ Paradigm,” Singapore, SINGAPORE, 2017, p. 61, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/63811.