Collision Pattern Modeling and Real-Time Collision Detection at Road Intersections

Salim, Flora D.; Loke, Seng W.; Rakotonirainy, Andry; Srinivasan, Bala; Krishnaswamy, Shonali

doi:10.1109/itsc.2007.4357693

Cited by 52 publications

(22 citation statements)

References 4 publications

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“…The availability of wireless communication protocols between vehicles and infrastructure (V2I) or between vehicles (V2V) offer great potential to assist drivers on intersections [36]. A vehicle could notify its presence and location to surrounding vehicles using V2V.…”

Section: Discussion and Potential Tech-nologymentioning

confidence: 99%

In-vehicle technology functional requirements for older drivers

Rakotonirainy

Steinhardt

2009

Proceedings of the 1st International Conference on Automotive User Interfaces and Interactive Vehicular Applications

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Older drivers represent the fastest growing segment of the road user population. Cognitive and physiological capabilities diminishes with ages. The design of future in-vehicle interfaces have to take into account older drivers' needs and capabilities. Older drivers have different capabilities which impact on their driving patterns and subsequently on road crash patterns. New in-vehicle technology could improve safety, comfort and maintain elderly people's mobility for longer. Existing research has focused on the ergonomic and Human Machine Interface (HMI) aspects of in-vehicle technology to assist the elderly. However there is a lack of comprehensive research on identifying the most relevant technology and associated functionalities that could improve older drivers' road safety. To identify future research priorities for older drivers, this paper presents: (i) a review of age related functional impairments, (ii) a brief description of some key characteristics of older driver crashes and (iii) a conceptualisation of the most relevant technology interventions based on traffic psychology theory and crash data.

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Section: Discussion and Potential Tech-nologymentioning

confidence: 99%

In-vehicle technology functional requirements for older drivers

Rakotonirainy

Steinhardt

2009

Proceedings of the 1st International Conference on Automotive User Interfaces and Interactive Vehicular Applications

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“…A neural network was used in [3], while the authors of [4] applied the Expectation-Maximization algorithm to cluster data. Obtaining the data to learn from remains an issue, since real data is not available and simulations will not cover all the potential accident situations.…”

Section: Related Workmentioning

confidence: 99%

Evaluating risk at road intersections by detecting conflicting intentions

Lefèvre

Laugier

Ibañez‐Guzmán

2012

2012 IEEE/RSJ International Conference on Intelligent Robots and Systems

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Abstract-This paper proposes a novel approach to risk assessment at road intersections. Unlike most approaches in the literature, it does not rely on trajectory prediction. Instead, dangerous situations are identified by comparing what drivers intend to do with what they are expected to do. Driver intentions and expectations are estimated from the joint motion of the vehicles, taking into account the layout of the intersection and the traffic rules at the intersection. The proposed approach was evaluated in simulation with two vehicles involved in typical collision scenarios. An analysis of the collision prediction horizon allows to characterize the efficiency of the approach in different situations, as well as the potential of different strategies to avoid an accident after a dangerous situation is detected.

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“…• to speed up collision detection (increasing TTC), we need: centralised location of computations, reduction of number of vehicle pairs for collision detection by preselection method, and knowledge base and learning of collision patterns [6] • to reduce the time needed to avoid collision (reducing TTA), we need: accurate cost models of Time-ToAvoid (TTA) to achieve timely warning or command message and real-time communication protocol. This is the purpose of the discussion in this section.…”

Section: Challenges In Delivering Real-time Warningmentioning

confidence: 99%

“…The main difference of our framework with existing collision warning and avoidance systems is the learning component that enables the system to be generic and adaptive to different types of intersections and assists faster collision detection process. In the early papers we concentrate our discussion on the learning [5] and detection [6] component of the system. In this paper, we introduce communication and cost model of delivering warning to vehicles in intersection once a potential collision is detected the U&I Aware Framework.…”

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confidence: 99%

Road Intersections as Pervasive Computing Environments: Towards a Multiagent Real-Time Collision Warning System

Salim

Cai

Indrawan

et al. 2008

2008 Sixth Annual IEEE International Conference on Pervasive Computing and Communications (PerCom)

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Abstract-Embedded with sensors and appropriate computational entities, a road intersection can be viewed as a pervasive computing environment. The crash rate in road intersections demonstrates the need for a fast and accurate collision detection system. We suggest that an intersection collision detection system should be able to adapt to different types of intersections for faster collision detection. Moreover, a real-time application-level communication protocol to warn affected drivers is required. An intersection agent that takes vehicular status information from vehicle agents and learns, detects and warns collisions at a road intersection is proposed. The issues, challenges, and cost of a multiagent collision avoidance system are discussed. A communication protocol that is designed specifically with intersection safety in mind is presented here. Multiagent system; collision warning and avoidance; communication protocol; cost model; road intersection safety I.INTERSECTIONS AT STAKEThe rate of fatalities of road intersection collisions has not significantly changed in more than two decades, regardless of improved intersection design, innovation of vehicles, and more sophisticated Intelligent Transportation System (ITS) technology. Intersections are among the most hazardous sites on U.S. roads. The statistic of crashes in the year 2002 in the USA reported that 50 percents of all reported crashes, approximately 3.2 million crashes, were intersection-related. 22 percents of the total fatalities on the road, which was 9,612 fatalities, and roughly 1.5 million injuries and 3 million collisions, happened at intersection surroundings 1 . The high accident and fatality rate in intersections is chiefly determined by the complexity at each intersection. Therefore, the complex nature of intersection collisions requires systems that warn drivers about possible collisions. In addition, given the uniqueness of each intersection, rather than manually finetuning a system for each intersection, an intelligent system for intersection safety should be able to adapt to different types of intersections automatically [2,3] are still infrastructure-only systems, and are limited in many factors, mainly due to inexistence of communication between road infrastructure and vehicles and inability of the systems to adapt to different types of intersections. Vehicle-based intersection collision warning systems are fairly effective for a single vehicle as there's no any communication means between vehicle and infrastructure. However, in an intersection, the potential danger normally impacts more than one vehicle; therefore, a cooperative system is preferred [1]. To our knowledge, existing research projects in cooperative systems for intersection safety do not mention techniques to discover crash patterns and pre-crash behaviour associations, which are essential to detecting and reacting to potential threats [1]. Existing intersection collision warning and avoidance systems are still deficient in these areas: incomprehensive data source, el...

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Collision Pattern Modeling and Real-Time Collision Detection at Road Intersections

Cited by 52 publications

References 4 publications

In-vehicle technology functional requirements for older drivers

In-vehicle technology functional requirements for older drivers

Evaluating risk at road intersections by detecting conflicting intentions

Road Intersections as Pervasive Computing Environments: Towards a Multiagent Real-Time Collision Warning System

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