An internet of things-based distributed intelligent system with self-optimization for controlling traffic-light intersections

Găitan, Vasile Gheorghiţă; Turcu, Cristina Elena

doi:10.1109/icate.2012.6403461

Cited by 15 publications

(7 citation statements)

References 8 publications

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“…Comparing with the A* search algorithm in which each state node has one evaluation function of the target state node, the bidirectional heuristic search algorithm associates each state node with two evaluation functions of the initial state node and the target state node. Equations (1) and 2…”

Section: Dynamic Path Planning Between Two Nodesmentioning

confidence: 99%

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Incorporating Bidirectional Heuristic Search and Improved ACO in Route Planning

Xiong¹,

Li²,

Zhou³

et al. 2015

IJHIT

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A multi-objective multi-node dynamic route planning system for a vehicle is presented in this paper. In this system, a bidirectional heuristic search algorithm is designed to perform path planning between two nodes in a topological map created by OpenStreetMap for urban scenarios. And then an improved multi-objective Ant Colony Optimization (ACO) algorithm considering the timeliness of goal nodes is proposed to generate the node sequence. Experimental results validated the proposed approach.

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Section: Dynamic Path Planning Between Two Nodesmentioning

confidence: 99%

“…In recent years, with the rapid increase in traffic volume and the complexity of transportation networks, congestion and the risk of accidents are becoming increasingly critical issues worldwide [1]. For example, in China, the average time of road network congestion is about one hour and forty minutes on weekdays in 2013.…”

Section: Introductionmentioning

confidence: 99%

Incorporating Bidirectional Heuristic Search and Improved ACO in Route Planning

Xiong¹,

Li²,

Zhou³

et al. 2015

IJHIT

View full text Add to dashboard Cite

show abstract

“…Improving traffic management and increase the productivity of the urban require more information and knowledge in different aspects. Traffic lights are one part of the intelligent transportation system, as it contains many different subsystems to avoid the traffic congestion and negative impacts on people [2]. Nowadays, systems for controlling the traffic can be found in several European Union (EU) countries.…”

Section: Introductionmentioning

confidence: 99%

Analysis of the security and privacy risks and challenges in smart cities’ traffic light system

Asad¹,

Saxena²,

Katos³

2021

3rd Smart Cities Symposium (SCS 2020)

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Currently, the IoT network is the fastest growing network in the world that brings the smart cities revolution. The increase in the smart cities development poses several security and privacy risks. With the acceleration of times, we can now hastily observe the lack of privacy in our life. The major security and privacy issues occur because of either nonconsideration of its security and privacy aspects or having inappropriate controls in place. Many of these issues could be resolved by applying advanced IoT-enabled solutions. This paper presents security and privacy risks and challenges against issues within traffic lights system, which is a complex and critical smart cities system. The paper also addresses a proposed secure and privacy-aware system for future traffic light system.

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“…Traffic information is gathered from a variety of sources such as CCTV cameras, policeman maintenance, contractors and road travelers. However, CCTV cameras have lots of drawbacks such as being affected by weather conditions and high cost of installation [7], [8]. Therefore, Riyadh city must benefit from the internet and communication technologies, especially concerning traffic, to be a smart city in traffic areas and provide residents more confidence and reliable services.…”

Section: Introductionmentioning

confidence: 99%

A Traffic Congestion Framework for Smart Riyadh City based on IoT Services

Al-Majhad¹,

Bramantoro²,

Syamsuddin³

et al. 2018

ijacsa

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Internet of Things has become one of the most challenging issues in many researches to connect physical things through the internet by creating a virtual identity for everything. Traffic congestion in Riyadh city is chosen due to the proliferation in the number of vehicles on Riyadh roads that is resulting in grumbling by residents. Currently, there are few reliable services offered to residents from the traffic department enabling them to access traffic information. A new traffic congestion framework for Riyadh is proposed to help the development of traffic congestion services. This framework aims to benefit from the current Riyadh road infrastructure and apply the Internet of Things paradigm for detecting traffic congestion with Everything as a Service approach. Sensing devices are used to identify the congestion of the traffic flow through providing multiple proposed services such as a vehicle counting, live streaming video and rerouting services. Users are able to access the services by using proposed mobile application connected to the internet, as those services are integrated with public map service. By using the services, the users are able to identify the exact location where congestion occurs and an alternate solution can be provided easily. To achieve this, Business Process Execution Language is embedded as a supporting framework layer. Due to the effectiveness in this layer, executable workflows are designed to combine the proposed services with the legacy Riyadh services as individual model. This approach clearly defines how the services are executed through the proposed models. A quantitative evaluation is provided to support the usability of this research.

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An internet of things-based distributed intelligent system with self-optimization for controlling traffic-light intersections

Cited by 15 publications

References 8 publications

Incorporating Bidirectional Heuristic Search and Improved ACO in Route Planning

Incorporating Bidirectional Heuristic Search and Improved ACO in Route Planning

Analysis of the security and privacy risks and challenges in smart cities’ traffic light system

A Traffic Congestion Framework for Smart Riyadh City based on IoT Services

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