Research on smart city public health detection system and improvement technology based on intelligent multi-objective

Inaugurated in 2014, India’s Swachh Bharat Mission (SBM) intends to eradicate open defecation in urban and rural areas by 2019. In cities, the scheme ranks municipalities for achieving open defecation-free status and other measures of cleanliness. In 2017, Indore was first nationally recognized with the national Cleanest City award. In the weeks before the city was evaluated, it sponsored a number of activities that demolished housing and sanitation infrastructures, singled out the female body for humiliation, and forced residents to revert back to the very sanitation practices the city was allegedly trying to eradicate. This paper traces the differing articulations of power at work between the extension and demolition of the city’s infrastructure. It focuses particularly on latrines, the metrics, and the urban vision to make Indore the Cleanest City, but also gives attention to the additional infrastructures connected to latrine-making and unmaking, including housing. We specifically explore two dimensions of what we call the “infrastructural intersectionality” of the Clean City Mission, which discloses differing forms of compounding infrastructural violence that include the dissolution of both material and social infrastructures. Firstly, the intersectionality of gender/caste/class/race social identities and power relations that are embedded and reified through infrastructures and, secondly, the intersectionality of multiple infrastructures that are inter-connected and co-constituted through each other. We argue that bringing the lens of intersectionality is critical for recognizing the socially differentiated and gendered dimensions of sanitation infrastructure, the SBM, and its situated infrastructural violence. By exploring two themes related to infrastructure and intersectionality, we show the criticality of embodied and gendered approaches to analyzing the power of infrastructure in the everyday.

The present era is marked by rapid improvement and advances in technology. One of the most essential areas that demand improvement is the traffic signal, as it constitutes the core of the traffic system. This demand becomes stringent with the development of Smart Cities. Unfortunately, road traffic is currently controlled by very old traffic signals (tri-color signals) regardless of the relentless effort devoted to developing and improving the traffic flow. These traditional traffic signals have many problems including inefficient time management in road intersections; they are not immune to some environmental conditions, like rain; and they have no means of giving priority to emergency vehicles. New technologies like Vehicular Ad-hoc Networks (VANET) and Internet of Vehicles (IoV) enable vehicles to communicate with those nearby and with a dedicated infrastructure wirelessly. In this paper, we propose a new traffic management system based on the existing VANET and IoV that is suitable for future traffic systems and Smart Cities. In this paper, we present the architecture of our proposed Intelligent Traffic Management System (ITMS) and Smart Traffic Signal (STS) controller. We present local traffic management of an intersection based on the demands of future Smart Cities for fairness, reducing commute time, providing reasonable traffic flow, reducing traffic congestion, and giving priority to emergency vehicles. Simulation results showed that the proposed system outperforms the traditional management system and could be a candidate for the traffic management system in future Smart Cities. Our proposed adaptive algorithm not only significantly reduces the average waiting time (delay) but also increases the number of serviced vehicles. Besides, we present the implemented hardware prototype for STS.