Agent Based Intelligent Traffic Management System for Smart Cities

Sandhu, Sabhijiit Singh; Jain, Naman; Gaurav, Aditya; Iyengar, N. Ch. S. N.

doi:10.14257/ijsh.2015.9.12.31

Cited by 7 publications

(2 citation statements)

References 12 publications

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“…Karmakharm and Richmond,in [15], include a description of the pedestrian behavior simulation in the event of a threat in the public space. Meanwhile, Sandhu et al, in [16], present the implementation of a model, based on intelligent agents, for controlling streetlights in a smart city. In their study [17], Olszewski, Pałka, and Turek analyze the problem of traffic jams in the office district with regards to car-sharing.…”

Section: Related Workmentioning

confidence: 99%

Spatiotemporal Modeling of the Smart City Residents’ Activity with Multi-Agent Systems

et al. 2019

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The article proposes the concept of modeling that uses multi-agent systems of mutual interactions between city residents as well as interactions between residents and spatial objects. Adopting this perspective means treating residents, as well as buildings or other spatial objects, as distinct agents that exchange multifaceted packages of information in a dynamic and non-linear way. The exchanged information may be reinforced or diminished during the process, which may result in changing the social activity of the residents. Utilizing Latour’s actor–network theory, the authors developed a model for studying the relationship between demographic and social factors, and the diversified spatial arrangement and the structure of a city. This concept was used to model the level of residents’ trust spatiotemporally and, indirectly, to study the level of social (geo)participation in a smart city. The devised system, whose test implementation as an agent-based system was done in the GAMA: agent-based, spatially explicit, modeling and simulation platform, was tested on both model and real data. The results obtained for the model city and the capital of Poland, Warsaw, indicate the significant and interdisciplinary analytical and scientific potential of the authorial methodology in the domain of geospatial science, geospatial data models with multi-agent systems, spatial planning, and applied social sciences.

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Section: Related Workmentioning

confidence: 99%

Spatiotemporal Modeling of the Smart City Residents’ Activity with Multi-Agent Systems

et al. 2019

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“…Last, but not least, considerable effort is put into developing smart strategies for traffic planning. Here, traffic management systems [16], as well as smart parking applications [17] are developed with the purpose of monitoring, decongesting and directing drivers toward free parking places. All these strategies are fundamental for cities to become more sustainable, clean and safe living places.…”

Section: Introductionmentioning

confidence: 99%

Smart City Technologies: Design and Evaluation of An Intelligent Driving Assistant for Smart Parking

Niculescu

Wadhwa

Quek

2016

International Journal on Advanced Science, Engineering and Information Technology

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Smart cities technologies are gradually changing our urban landscape thanks to the proliferation of billions of smart devices permanently connected through the internet. Among technologies with the highest impact on citizen's quality of life are intelligent transportation systems and in particular, smart parking applications. In this paper, we present a study evaluation the design of a smart parking assistant developed in our lab. The system is implemented as a mobile app with an integrated GUI adapted for Android tablets. The app extends common park guidance information systems (PGI) offering suggestions based on parking fee or proximity to the destination. Two novel features -beyond the state of the art of currently available systems -are added: the use of natural language and the ability to react in real-time to changes in parking occupancy. If the number of parking lots drops to a critical level, the application redirects the driver to another parking place. Furthermore, the app includes GPS and Google maps interfacing modules which enable the application to detect the driver location and calculate the nearest car park distance. A group of five experts with a background in interface design and natural language processing evaluated the prototype using Nielsen's set of heuristics in a think-loud approach. Results and implications for further interaction design are extensively discussed.

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Machine Learning Concept–Based IoT Platforms for Smart Cities' Implementation and Requirements

Saravanan¹,

Ajayan²,

Maheswar³

et al. 2022

Machine Learning Paradigm for Internet of Things Applications

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Agent Based Intelligent Traffic Management System for Smart Cities

Abstract: Abstract

Cited by 7 publications

References 12 publications

Spatiotemporal Modeling of the Smart City Residents’ Activity with Multi-Agent Systems

Spatiotemporal Modeling of the Smart City Residents’ Activity with Multi-Agent Systems

Smart City Technologies: Design and Evaluation of An Intelligent Driving Assistant for Smart Parking

Machine Learning Concept–Based IoT Platforms for Smart Cities' Implementation and Requirements

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