DSRC Performance Analysis in Foggy Environment for Intelligent Vehicles System

Advanced Driver Assistance System (ADAS) is one of the fastest growing areas in the Intelligent Transportation Systems (ITS). Research efforts has focused on developing a driver assistant alert system to warn driver in foggy environment. However, there is a lack of which effective V2V/V2I communication technology would be the best to extend and disseminate this information to nearby vehicles. In this paper, we examine the use of Dedicated Short Range Communications (DSRC) as a V2V communication mechanism to share the foggy conditions to nearby vehicles. The study also investigates the effect of changing the fog/air density on the DSRC performance in intelligent vehicles system. Simulation experiments are setup to study the influence of the fog density on the DSRC performance in communicating the road‟s foggy conditions to nearby vehicles via DSRC communications. The research findings proved that the DSRC performance can persist through fog/air density changes, which helps to confirm that it can help making up for lost human visibility and driver safety experience has been improved on roads during foggy times. This finding aims to promote safe highway operations in foggy or smoky conditions

DSRC Performance Analysis in Foggy Environment for Intelligent Vehicles System

Advanced Driver Assistance System (ADAS) is one of the fastest growing areas in the Intelligent Transportation Systems (ITS). Research efforts has focused on developing a driver assistant alert system to warn driver in foggy environment. However, there is a lack of which effective V2V/V2I communication technology would be the best to extend and disseminate this information to nearby vehicles. In this paper, we examine the use of Dedicated Short Range Communications (DSRC) as a V2V communication mechanism to share the foggy conditions to nearby vehicles. The study also investigates the effect of changing the fog/air density on the DSRC performance in intelligent vehicles system. Simulation experiments are setup to study the influence of the fog density on the DSRC performance in communicating the road?s foggy conditions to nearby vehicles via DSRC communications. The research findings proved that the DSRC performance can persist through fog/air density changes, which helps to confirm that it can help making up for lost human visibility and driver safety experience has been improved on roads during foggy times. This finding aims to promote safe highway operations in foggy or smoky conditions

A Lightweight Message Authentication Framework in the Intelligent Vehicles System

Intelligent Vehicles System (IVS) supports a wide variety of Advanced Driver Assistance System (ADAS) services such as vehicle visibility detection. In implementing this service, the message authentication is a vital design parameter that protects victim vehicles from being tricked into accepting false messages as legitimate ones and make a false decision based on the incoming message. However, implementing message authentication service is too expensive especially if vehicles, initially, don’t trust each others or there is no certificate of authority in place. In this research, we investigate the use of the Basic Safety Message (BSM) behavior over time as a metric to allow a receiving vehicle to anticipate at what distance it will continue to receive BSMs from within-range vehicles. Therefore, the victim vehicle would reject the BSM messages that fall outside its acceptance window. Simulation experiments are setup to study the realistic behavior of the BSM messages in different environment characteristics including changing the vehicle size, number of road lanes and vehicle speed. Research findings suggested that the lightweight message authentication can assist vehicles in estimating the duration for a trusted relationship among those that are located within range of each others

Detect and Defend System On a Stick (D2S2) Against GPS Spoofing Attack

With the wide spread of self driving cars, the need for safer and secure roadways became evident in the Intelligent Transportation Systems (ITS). For flexible deployment of smart vehicles in the ITS, smart vehicles communicate freely with each others using ad-hoc paradigm known as Inter-Vehicle Communication (IVC) over a universally available pool of channels. Unfortunately, this open access to the ITS system can be exploited by hackers to fuzz the system, break into it and cause a roadway danger. In this paper, we examine the possible security threats in the ITS system due to the exploitation of the vehicles GPS system. We propose a novel driver assistant system called Detect and Defend on a Stick System (D2S2) to detect and protect against GPS Spoofing attack. In order to validate the D2S2 mechanism, our simulation experiments were focused on developing a mechanism to detect malicious vehicle (the attacker ) that would lie about its GPS coordinates and defending the target vehicle (the victim ) from taking potentially dangerous evasive maneuvers. The victim vehicles defense system is observed under both normal non-attack and attack circumstances and positive results are obtained