Smart Traffic

Traffic management is a major concern for cities around the world. The conventional traffic problem has been cast as a mismatch situation between supply and demand. Our work has been around understanding and formalizing the traffic problem, looking at focus areas for emerging geographies, building IT-enabled techniques for solving them, and validating them in live environment.

Papers

Understanding Issues in Traffic

  1. Making Car Pooling Work – Myths and Where to Start, Biplav Srivastava, In 19th International Transportation System (ITS) Congress, Vienna, Austria, Oct 22-26, 2012. Earlier version asIBM Research Report RI 12014, March 2012. [Clarifies incentives at play in car sharing and car pooling, and suggests focus on better social group formation for effective car pooling.]

  2. A New Look at the Traffic Management Problem and Where to Start, Biplav Srivastava, In 18th International Transportation System (ITS) Congress, Orlando, USA, Oct 16-20, 2011. Earlier version as IBM Research Report RI10014, Nov 2010*. [Proposes the traffic problem as that of optimizing both public resources (city's) and private resources (citizens’) simultaneously; starting point for solving is getting traffic data on sustainable basis, which can be aggregate level for emerging geos]

  3. Towards a Sustainable Services Ecosystem for Traffic Management, Biplav Srivastava, Tran Viet Huan, Wei Xiong Shang, Ullas Nambiar, Vivek Tyagi, Shivkumar Kalyanaraman, In Service Research and Innovation Institute (SRII) Global Conference (SRII 2011), San Jose, USA, March 30 - April 2, 2011. [Articulates how an ecosystem can be created for sustainable traffic management with services technology; poster paper]

Sensing and Analytics for Traffic

  1. Biplav Srivastava, Madhavan Pallan, Mukundan Madhavan, Ravindranath Kokku, Case Studies in Managing Traffic in a Developing Country with Privacy-Preserving Simulation as a Service, IEEE Services Computing Conference 2016, San Francisco. [TrafficSumulation-DecisionSupport]

  2. Dipyaman Bannerjee, Biplav Srivastava, Promoting Carpooling with Distributed Schedule Coordination and Incentive Alignment of Contacts, 2015 IEEE 18th International Conference on Intelligent Transportation Systems (ITSC 2015), Las Palmas de Gran Canaria, Spain, 2015. [Carpooling-MechanismDesign]

  3. An Automated System for City-Scale Travel Time Calculation, Suyesh R Tiwari, Vinod Bijlani, Biplav Srivastava, Pamela A Nesbitt, ITS World Congress, Detroit, USA, Sep 7-12, 2014. [Traffic- Time Estimation]

  4. A General Approach to Exploit Available Traffic Data for a Smarter City, Biplav Srivastava, Raymond Rudy, Jane Xu, Brent Miller, Alberto Giacomel, Steven Wysmuller – IBM; Vineet Gupta, Nigel Jacob, Chris Osgood, Kevin Parker - City of Boston, Massachusetts, USA; Conor Gately, Lucy Hutyra - Boston University, USA, in 20th ITS World Congress 2013, Tokyo, Japan [Area: Transportation]

  5. City Notifications as a Data Source for Traffic Management, Pramod Anantharam, Biplav Srivastava, in 20th ITS World Congress 2013, Tokyo, Japan [Area: Transportation]

  6. Making Public Transportation Schedule Information Consumable for Improved Decision Making, Raj Gupta, Biplav Srivastava, Srikanth Tamilselvam, In 15th International IEEE Annual Conference on Intelligent Transportation Systems (ITSC 2012), Anchorage, USA, Sep 16-19, 2012. [The paper tackles lack of sensing in many cities by describing how to convert schedule information from individual public operators into a multi-modal network and offer decision support using it.]

  7. Sensor Subset Selection for Traffic Management, Raj Gupta, Biplav Srivastava, In 14th International IEEE Annual Conference on Intelligent Transportation Systems (ITSC 2011), Washington DC, USA, Oct 5-7, 2011. [The paper describes a way to optimally select traffic sensors using sensor models, traffic simulator and Pareto-optimal theory on decisions]

  8. On Using Crowd for Measuring Traffic at Aggregate Level for Emerging Countries, Nikhil Bansal, Biplav Srivastava, in Information Integration on the Web (IIWeb) workshop held with World Wide Web (WWW 2011) conference, Hyderabad, India, March 28, 2011. [Shows that traffic speed data has redundancy and this can be used to develop cost-effective strategies to collect data from people; presents a method to use collected data to convey traffic situation.

Knowledge Management for Traffic

  1. Lessons From Existing Business Process Hierarchies for Building a New One for Traffic, P. Mazzoleni, B. Srivastava, S. Tamilselvam, In IBM Research Report RI 11022, Oct 2011. [Describes principles for organizing BPH and a method to derive new one from traffic documents.]

  2. A Business Content Explorer for Intelligent Traffic Projects, Sumana Bhat, Karen Brown, Ankur Jain, Bipin Joshi, Srikanth Tamilselvam, Biplav Srivastava, Terrence White, In 14th International IEEE Annual Conference on Intelligent Transportation Systems (ITSC 2011), Washington DC, USA, Oct 5-7, 2011. [The paper describes how to harvest and organize traffic content from Business documents.]

  3. Using Business Content Explorer for Smarter Traffic Projects, Sumana Bhat, Karen Brown, Ankur Jain, Bipin Joshi, Srikanth Tamilselvam, Biplav Srivastava, Terrence White, in AI for an Intelligent Planet (AIIP) workshop held with International Joint Conference on Artificial Intelligence (IJCAI 2011) conference, Barcelona, Spain, July 18, 2011. [Demo paper. Describes a tool presenting traffic content semi-automatically extracted from public documents.]

Activities

My colleagues and I are involved with the following activities.

Tutorials

  1. Tutorial on AI-Driven Analytics In Traffic Management, in conjunction with International Joint Conference on Artificial Intelligence (IJCAI-13), Biplav Srivastava, Akshat Kumar, at Beijing, China, Aug 3-5, 2013. (tutorial-slides)

  2. Tutorial on Traffic Management and AI, in conjunction with 26th Conference of Association for Advancement of Artificial Intelligence (AAAI-12), Biplav Srivastava, Anand Ranganathan, at Toronto, Canada, July 22-26, 2012 (tutorial-slides).