A collision model for safety evaluation of autonomous intelligent cruise control

Touran, Ali; Brackstone, Mark; McDonald, M.

doi:10.1016/s0001-4575(99)00013-5

Cited by 54 publications

(36 citation statements)

References 4 publications

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“…Further studies will clearly be required to attempt to explain some of the features encountered, for example in terms of driver braking skill and experience (van Winsum and Heino, 1996) and indeed why drivers choose headways that are clearly less than their brake reaction times (an issue perhaps related to the lack of experience that most drivers have with anything more than low levels of braking, Touran et. al., 1999).…”

Section: Discussionmentioning

confidence: 99%

Determinants of following headway in congested traffic

Brackstone¹,

Waterson

McDonald

2009

Transportation Research Part F: Traffic Psychology and Behaviou

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134

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This paper reports on results of a study undertaken in the U.K. aimed at investigating factors affecting the car following process. An understanding of the factors affecting this complex decision making process is essential to a wide range of theoretical issues including driver workload, capacity and the modeling of freeway flow, as well as practical applications such as the design of in-vehicle driver aids and assistance systems, many of which have direct relevance to increasing driver safety. The study used an instrumented vehicle to collect time dependent following data for a group of test drivers. Data was collected on two differing types of high speed road, using six primary subjects who drove a test vehicle, supplemented by data on one hundred and twenty three drivers that were observed following the test vehicle. Examination was made of how the time headway chosen by a driver is influenced by a range of situational variables commonly believed to effect behavior, with four main findings. Firstly, headway was found to change according to the type of vehicle being followed (i.e. subjects followed closer to trucks than to cars), secondly, little variation was found with changes in overall traffic flow, thirdly, little correlation was found with road type, and lastly a distinct day-to-day variation in individual behavior was observed.

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Section: Discussionmentioning

confidence: 99%

Determinants of following headway in congested traffic

Brackstone¹,

Waterson

McDonald

2009

Transportation Research Part F: Traffic Psychology and Behaviou

Self Cite

134

View full text Add to dashboard Cite

show abstract

“…Other related VANET issues have been studied as well, like network connectivity [19], or survivability [20]. In this paper we focus on collision models for a chain of vehicles, particularly those based on physical parameters to assess the collision process itself [21], [22], [23].…”

Section: Related Workmentioning

confidence: 99%

Speeding Up the Evaluation of a Mathematical Model for VANETs Using OpenMP

García-Costa

Tomás-Gabarrón

Egea-López

et al. 2013

Advances in Intelligent Systems and Computing

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Abstract. Vehicular Ad-hoc Networks (VANETs) are having a significant impact on Intelligent Transportation Systems, specially on the improvement of road safety. Cooperative/Chain Collision Avoidance (CCA) application comes up as a solution for decreasing accidents on the road, therefore it is highly convenient to study how the system of vehicles in a platoon will behave at different stages of technology deployment until full penetration in the market. In the present paper we describe an analytical model to compute the average number of accidents in a chain of vehicles. The use of this model when the CCA technology penetration rate is not 100% leads to a vast increase in the number of operations. Using the OpenMP directives for parallel processing with shared memory we achieve a significant reduction in the computation time consumed by our analytical model.

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“…Other related VANET issues have been studied as well, like network connectivity (Khabazian and Mehmet Ali, 2008), or survivability (Xie and Xiao, 2008). In this paper we focus on collision models for a chain of vehicles, particularly those based on physical parameters to assess the collision process itself (Glimm and Fenton, 1980;Touran and Brackstone, 1999;Kim and Jeong, 2010).…”

Section: Related Workmentioning

confidence: 99%

Parallelization of a Mathematical Model to Evaluate a Cca Application for Vanets

Murcia-Hernández¹,

García-Costa²,

Tomás-Gabarrón³

et al. 2011

Proceedings of 1st International Conference on Simulation and Modeling Methodologies, Technologies and Applications

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Abstract:Vehicular Ad-hoc Networks (VANET) are currently becoming not only an extremely important factor for vehicles engineering development but also a key issue for improving road safety. Cooperative/Chain Collision Avoidance (CCA) application comes up as a solution for decreasing accidents on the road, therefore it is highly convenient to study how the system of vehicles in a platoon will behave at different stages of technology deployment until full penetration in the market. We have developed an analytical model to compute the average number of accidents in a platoon of vehicles. However, due to the model structure, when the CCA technology penetration rate is taken into account, the increase in the number of operations of the analytical model is such that the sequential computation of a numerical solution is no longer feasible. In this paper, with the goal in mind of reducing computation time, we show how we have implemented and parallelized our analytical model so as a solution can be achieved, what is conducted using the OpenMP parallelization techniques under a supercomputing shared memory environment.

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A collision model for safety evaluation of autonomous intelligent cruise control

Cited by 54 publications

References 4 publications

Determinants of following headway in congested traffic

Determinants of following headway in congested traffic

Speeding Up the Evaluation of a Mathematical Model for VANETs Using OpenMP

Parallelization of a Mathematical Model to Evaluate a Cca Application for Vanets

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