review;articles

Doi: 10.1145/2076450.2076470

Vehicle area networks form the backbone of
future intelligent transportation systems.

By MiaD faeZiPouR, MehRDaD nouRani,
aDnan saeeD, anD saTeesh aDDePaLLi
Progress and
challenges
in intelligent
Vehicle area
networks

vehicle safety techniques such as driver fatigue detection/warning mechanisms and other driver-assist tools into vehicles may significantly help in preventing accidents and increase crash survivability.

This article surveys the main innovations in vehicle area networks (VAN) featuring driver safety. We mainly focus on the recent developments of intelligent transportation systems (ITS) for intra-vehicle and inter-vehicle-area-networks to assist driver safety:

Intra (In-Vehicle) VAN. Intelligent intra-vehicle systems are becoming necessary components of smart vehicle system research. Intra-vehicle networks deal with the data communication network of onboard equipment (OBE) for assessing a driver’s behavior or a vehicle’s performance. Two vehicle safety techniques—passive and active—are currently being employed and devised in vehicles. Passive vehicle safety includes a set of tools or devices such as seatbelts or air bags that improve safety in the event of an accident. On the other hand, active vehicle safety techniques consist of a variety of techniques such as on-board driver assistance tools (for example, driver fatigue detection), lane-keeping or congestion control tools and many more,

MUCh attentiOn haS recently been paid to smart vehicle research to assist drivers and ultimately revolutionize the way vehicles, road sensors, and drivers communicate in the future. The key objective is to improve driver and vehicle safety. The National Transportation Safety Board reports that U.S. highways on average experience 43,300 fatalities per year. Every day, more than 16,000 crashes occur on U.S. highways, mainly due to driver error, poor judgment, drowsiness, or distraction. 9 The U.S. National Highway Traffic Safety Administration estimates that in the U.S. alone, approximately 100,000 crashes (about 2% of all) each year are caused primarily by driver drowsiness or fatigue. 9, 28 Thus, incorporating automatic active

key insights

;;; intelligent transportation systems (i Ts) in general and vehicle area networks (Van), in particular, are expected to grow with the ultimate goal of achieving an accident-free driving environment.

;;; The key requirement of Van is an efficient wireless intra- and inter-vehicle communication mechanism to collect and exchange data among the driver, car, and road infrastructure.

;;; analytics play a major role in the future network of smart vehicles to quickly detect dangerous situations, alert the driver and/ or police, and prevent accidents.

;;; such goals require multidisciplinary analytics from signal processing (for example, conditioning sensor’s raw data), to machine learning (such as a driver’s behavioral analysis) and data mining (traffic pattern database).