Safety

Tracking the position of neighboring vehicles using wireless communications

Rezaei, Shahram
Raja Sengupta
Krishnan, Hariharan
Guan, Xu
Bhatia, Raman
2010

We investigate four communication schemes for Cooperative Active Safety System (CASS) and compare their performance with application level reliability metrics. The four schemes are periodic communication, periodic communication with model, variable communication, and variable communication with repetition. CASS uses information communicated from neighboring vehicles via wireless network in order to actively evaluate driving situations and provide warnings or other forms of assistance to drivers. In CASS, we assume that vehicles are equipped with a GPS receiver, a Dedicated Short Range...

Implementation and Evaluation of Scalable Vehicle-to-Vehicle Transmission Control Protocol

Huang, Ching-Ling
Krishnan, Hariharan
Raja Sengupta
Fallah, Yaser P.
2010

Vehicle-to-Vehicle (V2V) communications play a critical role in enabling important cooperative safety applications. V2V safety communications rely on broadcast of self-state information (e.g., position, speed, and heading) by each vehicle, which allows a vehicle to track its neighboring vehicles in real-time. One of the most pressing challenges in this research is to maintain an acceptable tracking accuracy of neighboring vehicles while avoiding congestion in the shared communication channel. In this paper we describe the evaluation of a transmission control protocol that adapts the...

SafeTrip 21 Initiative: Networked Traveler Foresighted Driving Field Experiment Final Report

Nowakowski, Christopher
Gupta, Somak Datta
Raja Sengupta
Mannassehm, Christian
Spring, John
VanderWerf, Joel
Sharafsaleh, Ashkan
Vizzini, Daniel
2011

This report describes the SafeTrip-21, Networked Traveler Foresighted Driving Field Experiment conducted as part of the US DOT’s SafeTrip-21 initiative. This experiment developed and evaluated an Advanced Driver Assistance System providing soft-safety or situational awareness alerts regarding “Slow Traffic Ahead” when driving on a freeway. The Networked Traveler system detects slow traffic or queues at several thousand locations in the Bay area, monitors the locations and speeds of its test subjects as they drive, and determines if the driver is approaching the slow traffic fast enough to...

Analysis of Information Dissemination in Vehicular Ad-Hoc Networks With Application to Cooperative Vehicle Safety Systems

Fallah, Yaser P.
Huang, Ching-Ling
Raja Sengupta
Krishnan, Hariharan
2011

Cooperative vehicle safety systems (CVSSs) rely on vehicular ad-hoc networks (VANETs) for the delivery of critical vehicle tracking information. The wireless channel in such systems is shared by vehicles within the transmission range of each other. Due to the near-linear spatial distribution of vehicles in a highway scenario, the vehicular broadcast network is heavily affected by the hidden node interference phenomenon, which considerably limits its capacity. The performance of vehicle tracking application that is the basis for CVSS is therefore significantly affected by the performance of...

SafeTrip 21 Initiative: Networked Traveler Foresighted Driving Field Experiment Final Report

Nowakowski, Christopher
Gupta, Somak Datta
Raja Sengupta
Mannasseh, Christian
Spring, John
VanderWerf, Joel
Sharafsaleh, Ashkan
Vizzini, Daniel
2011

This report describes the SafeTrip-21, Networked Traveler Foresighted Driving Field Experiment conducted as part of the US DOT’s SafeTrip-21 initiative. This experiment developed and evaluated an Advanced Driver Assistance System providing soft-safety or situational awareness alerts regarding “Slow Traffic Ahead” when driving on a freeway. The Networked Traveler system detects slow traffic or queues at several thousand locations in the Bay area, monitors the locations and speeds of its test subjects as they drive, and determines if the driver is approaching the slow traffic fast enough to...

Scalable Cooperative Vehicle Safety Systems: Adaptive Inter-Vehicle Communication

Datta Gupta, Somak
Fallah, Yaser P.
Huang, Ching-Ling
Raja Sengupta
Krishnan, Hariharan
2011

Scalability is one of the main challenges of cooperative vehicle safety (CVS) systems. In this paper, we describe a demonstration of the scalability solution that we have developed for CVS. The solution is an adaptive communication scheme for safety messages. The demo comprises of a demonstration of the rate control algorithm using recorded vehicle trajectories, and a live demonstration of the power control scheme using emulated interference. We show that the proposed algorithms are able to deliver considerably better performance than the baseline solution for CVS. The demonstration will...

Implementation and Evaluation of Scalable Vehicle-to-Vehicle safety Communication Control

Huang, Ching-Ling
Raja Sengupta
Krishnan, Hariharan
Fallah, Yaser P.
2011

Vehicle-to-vehicle (V2V) communications play a critical role in enabling numerous important cooperative safety applications. V2V safety communications rely on broadcast of self-state information (e.g., position, speed, and heading) by each vehicle, which allows a vehicle to track its neighboring vehicles in real time. One of the most pressing challenges in this research is to maintain acceptable tracking accuracy of neighboring vehicles while avoiding congestion in the shared communication channel. In this article we describe the evaluation of a transmission control protocol that adapts...

A Cyber-physical Systems Approach to the Design of Vehicle Safety Networks

Fallah, Yaser P.
Raja Sengupta
2012

The concept of cooperative vehicle safety (CVS) is based on cooperation of vehicles in achieving real-time situation awareness for the purpose of safer (and possibly autonomous) driving. Since CVS is a safety system, situation awareness has to be real-time with high accuracy. Cooperation in the context of CVS is achieved through vehicular networks that are tuned to the purpose of vehicle state tracking in a neighborhood around each vehicle. In this paper, we describe different methodologies in approaching the design of CVS, and propose a systematic Cyber-Physical Systems approach to the...

Predicting driver destination using machine learning techniques

Manasseh, Christian
Raja Sengupta
2013

In this paper we present a method for predicting the driver's destination with 96% accuracy. Knowing the driver's destination has many useful applications in traffic safety, traffic mobility, and influencing driver behavior. Furthermore, a software application that can predict the driver's destination can reduce the burden on the driver from manually entering the destination address on small-screen mobile devices. Current methods for predicting driver destination do that by predicting the driver's route. Those methods result in 72% accuracy if relying only on GPS traces. By providing...

Drones in Smart Cities: Overcoming Barriers Through Air Traffic Control Research

Foina, Aislan Gomide
Raja Sengupta
Lerchi, Patrick
Liu, Zhilong
Krainer, Clemens
2015

Within the last decade, the recent automation of vehicles such as cars and planes promise to fundamentally alter the microeconomics of transporting people and goods. In this paper, we focus on the self-flying planes (drones), which have been renamed Unmanned Aerial System (UAS) by the US Federal Aviation Agency (FAA). The most controversial operations envisaged by the UAS industry are small, low-altitude UAS flights in densely populated cities - robotic aircraft flying in the midst of public spaces to deliver goods and information. This subset of robotic flight would be the most valuable...