C3PO: Connected Cars & Corridors for Pervasive Sensing and COntrol of Vehicular Flows


This research studies the behavior and performance of a transportation corridor made of a freeway and arterial streets under a Connected Vehicles (CV) environment, where vehicles equipped with wireless communication and sensing devices collect, process, and share traffic information among themselves along with roadside sensors. First, methods of fusing/combining real-time traffic data from both vehicles and roadside sensors will be explored to automate the detection of incidents (e.g., accidents) and estimation of the multi-modal traffic demand at intersections or origin-to-destination trip information. Second, the research studies how congestion, particularly traffic jams, emerge and spread, and how cooperative driving technology (CACC), vehicle speed control, and platooning can increase the efficiency of vehicle streams. Our envisioned system will integrate WAVE communications, vehicle positioning, obstacle detection, and in-vehicle processors to form opportunistically high-performance vehicle streams on-demand, particularly at merging, lane-dropping locations and on special lanes in a distributed manner. Finally, the research makes use of the results obtained from the first two tasks to explore algorithms that will enable the adaptive, coordinated control of freeway ramp meters and traffic lights, and the re-routing of traffic in response to traffic incidents.

As part of this project, we have developed Vehicular Network Open Simulator (VENTOS), an integrated C++ simulator that consists of many different modules, including enhancement to SUMO and OMNET.

We hope the results of our research will lead to new ways to monitor and control vehicular traffic, which will enable applications for reducing traffic congestion and fuel consumption. We will build on some of the results and tools developed in our previous collaborative project, VMesh/VGrid, where our team leverages vehicular ad hoc networks (VANET) to perform distributed data sensing, relaying, and computing.



  • M. Zhang, Civil & Environmental Engineering (PI)
  • D. Ghosal, Computer Science (Co-PI)
  • C-N. Chuah, Electrical & Computer Engineering (Co-PI)

Graduate Students

  • Mani Amoozadeh, Electrical & Computer Engineering (PhD)
  • Hui Deng, Civil & Environmental Engineering (PhD)
  • Huajun Chai, Civil & Environmental Engineering (PhD)
  • Philip Vo, Electrical & Computer Engineering (MS)


  • Kartik Pandit, Computer Science (PhD, 2013)


  • M. Amoozadeh, A. Raghumaru, C-N. Chuah, D. Ghosal, H. Michael Zhang, J. Rowe, and K. Levitt, "Security Vulnerabilities of Connected Vehicles Streams and their Impact on Cooperative Driving," IEEE Communications Magazine - Automotive Networking Series, 53(6), pp. 126-132, June 2015. [pdf]
  • M. Amoozadeh, H. Deng, C-N. Chuah, H. Michael Zhang, D. Ghosal, "Platoon Management with Cooperative Adaptive Cruise Control Enabled by VANET," Elsevier Vehicular Communications, 2(2), pp. 110-123, April 2015. [pdf]
Please refer to VMesh/VGrid page for our previous publications on vehicular networking.


VENTOS is an integrated C++ simulator for studying vehicular traffic flows, collaborative driving, and interactions between vehicles and infrastructure through WAVE-enabled wireless communication capability.


This work is supported by the National Science Foundation Grant CMMI-1301496