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CityProbe: A city-scale pervasive sensing system for monitoring road conditions, air and sound pollution

Primary Information

Domain

Information & Communication Technology

Project No.

6720

Sanction and Project Initiation

Sanction No: F.No. 3-18/2015-TS-TS.1

Sanction Date: 14/12/2016

Project Initiation date: 20/07/2017

Project Duration: 36

Partner Ministry/Agency/Industry

Ministry of Urban Development

Role of partner:Funding

Support from partner:50% funding

Principal Investigator

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Bhaskaran Raman
Indian Institute of Technology Bombay

Host Institute

Co-PIs

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Niloy Ganguly
Indian Institute of Technology Kharagpur

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Sandip Chakraborty
Indian Institute of Technology Kharagpur

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Subrata Nandi
National Institute of Technology, Durgapur

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Sujoy Saha
National Institute of Technology, Durgapur

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Divya Bansal
PEC University of Technology (Deemed University), Chandigarh

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Sanjeev Sofat
PEC University of Technology (Deemed University), Chandigarh

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Mousumi Saha
National Institute of Technology, Durgapur

Scope and Objectives

The project proposes a city-scale mobile crowd-sensing framework using portable sensing devices and mobile phone sensors to achieve the following objectives: (a) to measure and analyze (air, sound) pollution levels and to determine road conditions (potholes, bumps) in real-time, (b) to study the inherent causalities between poor road conditions and pollution levels in cities, (c) to present insights derived to city agencies on a dashboard, and as personalized mobile alerts to commuters, (d) to employ opportunistic and participatory sensing models, (e) to explore incentive mechanisms and reputation models to scale participatory crowd-sensing.

Deliverables

1 Prototype design of a low cost, GPS enabled, 3G enabled, battery operated, portable AQM devices for sensing PM 2.5, SOx, NOx, CO, temperature and humidity which may be placed statically in outdoors or be mounted on vehicles. 2 System to detect report road conditions, pollution levels, and field deployment a mobile phone app + server application to collect and display reported data separate apps for detecting road conditions, air sound pollution. 3 Web dashboard for real time visualization real time of road conditions, pollution levels in Mumbai Durgapur Chandigarh spatio-temporal variations. Also use suitable inference models for providing estimates of air quality and noise level index in city locations where real-time sampled data is not available. 4 Route recommender for commuters, based on pollution road time we will integrate an early-warning system for drivers of vehicles, based on conditions on current road. Commuters can also be provided with route recommendations based on the profiles of pollution levels across the city. 5 Incentive mechanism, data veracity framework for participatory sensing: to scale to a city-wide user base, we will develop incentive mechanisms that ensure user engagement as a continual process. We will incorporate a data veracity model which validates the usefulness of reported data in both automated and participatory sensing scenarios.

Scientific Output

Our SafeStreet system for crowd-sourced road anomaly detection has been field tested on about 2000 cabs in Bangalore and Mumbai. We have done extensive ground-truth validation using the data collected and have fine tuned our algorithms to improve detection accuracy. CityMap, a system to generate annotated city transit map has been developed. ComfRide, a comfortable route recommendation system has been developed. We have created a aata repository of various pollutants obtained from different types of sensors.

Results and outcome till date

Our SafeStreet system for crowd-sourced road anomaly detection has been field tested on about 2000 cabs in Bangalore and Mumbai. The CityMap and ConfRide systems has been deployed and tested over various routes of Kolkata, Durgapur and Bhubaneswar Deployed more sensors that are capable of sensing PM2.5, PM10 and CO at multiple locations (including indoor and outdoor locations) in the city of Chandigarh. Data is collected on daily basis and is compared with existing sensors in order to calibrate the fixed sensors. Sensors capable of sensing PM2.5, PM10, CO, temperature and humidity have been deployed at 7 distinct locations in the city of Chandigarh in order to understand the spatio-temporal nature of pollutants. Data is collected through internet (SIM cards installed in sensors) in JSON format on the servers of PEC. Data is collected from October 2017 and currently we have repository of almost 10 months. Dashboard is being developed at PEC Chandigarh to visualize and analyze the air pollution data received from these sensors. Various metrics like MAX, MIN, Average for each pollutant are displayed in the tabular form. Graphical representations can also be visualized on the dashboard.

Societal benefit and impact anticipated

Next steps

Publications and reports

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Patents

Scholars and Project Staff

IITB Deepthi Chander, Senior Project Scientist, Aug 2017 - June 2018 Laxman Sawant, Project Technician, Till completion of project Palash Jain, Project Research Assistant, Till completion of project Shweta Mahajan, Project Research Assistant, Till completion of project IITKgp Avirup Mukherjee, Junior Research Fellow, Till the completion of project Satadal Sengupta, Junior Research Fellow, Till the completion of project Subhendu Khatuya, Junior Research Fellow, Till the completion of project NITD: as per below table Name Designation Joined On Tenure Kashi Nath Datta Research Engineer 21.12.2017 3 Years/ Till the end of the Project Santanu Mandal Project Coordinator/ Research Assistant 02.07.2018 3 Years/ Till the end of the Project Asif Wasay Temporary Staff for Field Level Data Collection 18.12.2017 3 Years/ Till the end of the Project Bishakh Chandra Ghosh Project Student Associate 18.12.2017 6 Months Chhanda Adhikary Project Student Associate 20.12.2017 6 Months Naman Mehta Project Student Associate 18.12.2017 6 Months Avirup Mukherjee Project Student Associate 18.12.2017 6 Months Kartick Das Banerjee Project Student Associate 18.12.2017 3 Months Ashutosh Roy Project Student Associate 20.03.2018 3 Months Chha

Financial Information

  • Total sanction: Rs. 24000000

  • Amount received: Rs. 14400000

  • Amount utilised for Equipment: Rs. 757353

  • Amount utilised for Manpower: Rs. 997927

  • Amount utilised for Consumables: Rs. 210282

  • Amount utilised for Contingency: Rs. 88173

  • Amount utilised for Travel: Rs. 168375

  • Amount utilised for Other Expenses: 2636055

  • Amount utilised for Overheads: Rs. 979473

Equipment and facilities

IITB 3 desktops for students: INR 1,57,353 IITKgp Desktop workstation: INR 59,950 NITD In progress: various pollution sensors: committed INR 6 lakhs PEC Arduino Boards, Ultrasonic Sensors: INR 5098 Meta Motion logging sensors and accessories: INR 24031 Wearable sensor: INR 25000 Laptop: INR 106500 Smartphone: INR 20,999 Dust Air PM2.5 Testing Sensor: INR 1600 Potentiometer and Multimeter: INR 1448