ITRA-DIC

Information Technology Research Academy

De-congesting India’s transportation networks using mobile devices

Our proposal envisages the use of mobile phones to estimate congestion and traffic patterns on urban roads. Based on the congestion metrics obtained, the proposal aims to develop algorithms and tools for traffic planning and management, using the mobile phone as a service platform.

The proposed solution strategy consists of two distinct focus areas. The first area deals with the problem of estimating mobile phone densities to measure prevailing congestion and traffic patterns. The second, and larger area involves developing algorithms for traffic routing, control and prediction, based on congestion.

The proposed work has enormous potential for applications, such as dynamic route planning, peak hour rush control, routing of emergency vehicles to and from disaster affected areas, evacuation planning, traffic prediction and capacity planning. In addition, this work is also expected to shed new conceptual insights into the general problem of control of complex networks with strategic agents, by bringing together ideas from several technical disciplines. Thus there is a strong interdisciplinary flavour that runs through the proposal.

  • Develop optimal routing strategies, and optimal tolling for various Indian cities. Our strategies will exploit the specific topologies of Indian cities and propose targeted solutions
  • Develop a framework to estimate the avoidable economic costs of road congestion in Indian cities. These findings can feed into future infrastructure planning and policy development
  • Propose improved congestion estimation algorithms and travel time prediction using mobile phone localization and statistical learning techniques.
  • Publish findings in reputed, peer reviewed international conferences and journals, belonging to disciplines such as operations research, transportation, and large-scale systems
  • The proposed models and solutions will be tested/prototyped in a simulation testbed. This will provide confidence and can also serve as a benchmark for any future solutions
  • Information dissemination, via lectures series and a unique interdisciplinary winter school, will serve as a platform for discussion and debate on state-of-the-art analytical techniques, new technologies, and policy initiatives

Year 1

  • Literature review, model formulations, initiate engagement with cluster teams
  • IITM Seminar Series, visit by advisory board member

Year 2

  • Model development and comparisons to state-of-the-art, develop analytical frameworks
  • IITM Seminar Series, initial curricular development activities, visit by advisory member
  • Publishing initial frameworks and findings in interdisciplinary conferences
  • Initial simulations and data acquisition

Year 3

  • Refining models and analytical frameworks, porting promising solutions on to simulators
  • IITM seminar series, refining curricular development
  • Publishing final solutions and recommendations in peer reviewed journals/conferences
  • Interdisciplinary school for the dissemination of research and solutions, material for curriculum development, increasing awareness among different disciplines and stakeholders
Principal Investigators
Dr. Krishna Jagannathan, IITM krishnaj@ee.iitm.ac.in Link to homepage
Dr. Gaurav Raina, IITM gaurav@ee.iitm.ac.in Link to homepage
Dr. Sitabhra Sinha, IMSc sitabhra@imsc.res.in Link to homepage
Dr. Kanchan Mukherjee, IIMB kanchan.mukherjee@iimb.ernet.in Link to homepage

De-congesting India’s transportation networks using mobile devices


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PhD Students

De-congesting India’s transportation networks using mobile devices


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Collaborators

De-congesting India’s transportation networks using mobile devices


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Institutions

IIT MadrasIMSc ChennaiIIM Bangalore

decongesting

For more details, check the project website.

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                                                   Project Status

PhD Student(s) ,2

Publications  ,2

Number of Workshop/Training(s) , 0

Labs Created, 0

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Publications

De-congesting India’s transportation networks using mobile devices


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