Real time traffic management using Internet of Things

Thakur, Tanvi; Naik, Ameya K.; Vatari, Sheetal; Gogate, Manjiri

doi:10.1109/iccsp.2016.7754512

Cited by 25 publications

(12 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The research results corroborate the findings of a great deal of the previous worldwide city council projects [72][73][74][75][76][77][78][79][80][81][82][83][84][85][86][87], which devised extensive use of public transport strategies to achieve future urban development. In the context of providing public engagement to smart transport city development [58][59][60][61][62][63][64][65][66][67][68][69], the paper has highlighted a novel feature to the participatory approach, relating to the meaningful public involvement with a variety of participant groups throughout the construction of the local policy-pathways.…”

Section: Discussionsupporting

confidence: 83%

“…In Asia, many Chinese and Indian cities launched smart cities missions to transform their cities into smarter and citizen-friendly local areas [80][81][82]. For, instance, in Indian cities, the smart systems assess real-time traffic information, particularly for emergency cases [83][84][85][86][87]. Shanghai's smart city mission focused on smart sensors in all buses and metro stations and the development of higher internet connection speeds have allowed increasing the productivity of the city [88,89].…”

Section: Smart Transportation Approaches Advances and Applicationsmentioning

confidence: 99%

“…The previous studies on the ensuring of public involvement are not reliable [58][59][60][61][62][63][64][65][66][67][68][69]. Despite the emerging recognition that an organized involvement of stakeholders should become central to all the relevant features of smart transportation studies [70][71][72][73][74][75][76][77][78][79][80][81][82][83][84], limited attention has been paid to encouraging different stakeholders in all critical stages of smart city agendas [85][86][87][88][89][90][91][92][93][94][95][96][97][98][99][100][101][102]. Furthermore, visions are composed of several vital drivers and not all the key drivers are of similar desirability [115] and reflecting nuances of value-laden perspectives by separating different clusters of desirability makes i...…”

Section: Smart Transportation Approaches Advances and Applicationsmentioning

confidence: 99%

See 2 more Smart Citations

Smart Cities in Turkey: Approaches, Advances and Applications with Greater Consideration for Future Urban Transport Development

Bıyık

2019

Energies

View full text Add to dashboard Cite

The smart city transport concept is viewed as a future vision aiming to undertake investigations on the urban planning process and to construct policy-pathways for achieving future targets. Therefore, this paper sets out three visions for the year 2035 which bring about a radical change in the level of green transport systems (often called walking, cycling, and public transport) in Turkish urban areas. A participatory visioning technique was structured according to a three-stage technique: (i) Extensive online comprehensive survey, in which potential transport measures were researched for their relevance in promoting smart transport systems in future Turkish urban areas; (ii) semi-structured interviews, where transport strategy suggestions were developed in the context of the possible imaginary urban areas and their associated contextual description of the imaginary urban areas for each vision; (iii) participatory workshops, where an innovative method was developed to explore various creative future choices and alternatives. Overall, this paper indicates that the content of the future smart transport visions was reasonable, but such visions need a considerable degree of consensus and radical approaches for tackling them. The findings offer invaluable insights to researchers inquiring about the smart transport field, and policy-makers considering applying those into practice in their local urban areas.

show abstract

Section: Discussionsupporting

confidence: 83%

Section: Smart Transportation Approaches Advances and Applicationsmentioning

confidence: 99%

Section: Smart Transportation Approaches Advances and Applicationsmentioning

confidence: 99%

See 1 more Smart Citation

Smart Cities in Turkey: Approaches, Advances and Applications with Greater Consideration for Future Urban Transport Development

Bıyık

2019

Energies

View full text Add to dashboard Cite

show abstract

“…The IoT has begun to shape our modern world, where smart devices interact not only with humans, but also with many other smart devices attached to different objects, at different environments, and in different infrastructure [1]. How to effectively control a traffic lights system with assistance of IoT technologies become a popular research topic [2][3][4]. In this paper, based on the green wave theory and under an IoT platform, we propose to implement a system applying for Intelligent Traffic System (ITS) in urban areas in Vietnam.…”

Section: Introductionmentioning

confidence: 99%

Applying the IoT platform and green wave theory to control intelligent traffic lights system for urban areas in Vietnam

2019

KSII TIIS

View full text Add to dashboard Cite

This paper proposes an intelligent system performing an application with assistance of an Internet of Things (IoT) platform to control a traffic lights system. In our proposed systems, the traffic lights can be remotely controlled through the Internet. Based on IoT platform, the traffic conditions at different intersections of roads are collected and the traffic lights are controlled in a central manner. For the software part, the algorithm is designed based on the green wave theory to maximize the green bandwidth of arterial roads while addressing a challenging issue: the rapid changes of parameters including cycle time, splits, offset, non-fixed vehicles' velocities and traffic flow along arterial roads. The issue typically happens at some areas where the transportation system is not well organized like in Vietnam. For the hardware part, PLC S7-1200 are placed at the intersections for two purposes: to control traffic lights and to collect the parameters and transmit to a host machine at the operation center. For the communication part, the TCP/IP protocol can be done using a Profinet port embedded in the PLC. Some graphical user interface captures are also presented to illustrate the operation of our proposed system.

show abstract

“…Further, they described to be a reality which is a vehicle to vehicle's owner that IoV needs four types of communication, a vehicle to vehicle, a vehicle to centralize server and vehicle to the third party like police patrol, ambulance, etc. [19]. Cognition was used for user authentication in vehicles [26].…”

Section: Literature Reviewmentioning

confidence: 99%

Intelligent Transportation System (ITS) for Smart-Cities using Mamdani Fuzzy Inference System

Iqbal¹,

Khan²,

Abbas³

et al. 2018

ijacsa

View full text Add to dashboard Cite

Abstract-It is estimated that more than half of the world population lives in cities according to (UN forecasts, 2014), so cities are vital. Cities, as we all know facing with complex challenges -for smart cities the outdated traditional planning of transportation, environmental contamination, finance management and security observations are not adequate. The developing framework for smart-city requires sound infrastructure, latest current technology adoption. Modern cities are facing pressures associated with urbanization and globalization to improve quality-of-life of their citizens. A framework model that enables the integration of cloud-data, social network (SN) services and smart sensors in the context of smart cities is proposed. A service-oriented radical framework enables the retrieval and analysis of big data sets stemming from Social Networking (SN) sites and integrated smart sensors collecting data streams for smart cities. Smart cities' understanding is a broad concept transportation sector focused in this article. Fuzzification is shown to be a capable mathematical approach for modelling traffic and transportation processes. To solve various traffic and transportation problems a detailed analysis of fuzzy logic systems is developed. This paper presents an analysis of the results achieved using Mamdani Fuzzy Inference System to model complex traffic processes. These results are verified using MATLAB simulation.

show abstract

Real time traffic management using Internet of Things

Cited by 25 publications

References 3 publications

Smart Cities in Turkey: Approaches, Advances and Applications with Greater Consideration for Future Urban Transport Development

Smart Cities in Turkey: Approaches, Advances and Applications with Greater Consideration for Future Urban Transport Development

Applying the IoT platform and green wave theory to control intelligent traffic lights system for urban areas in Vietnam

Intelligent Transportation System (ITS) for Smart-Cities using Mamdani Fuzzy Inference System

Contact Info

Product

Resources

About