Results of the EC-Project INTERSAFE

Fuerstenberg, Kay; Roessler, Bernd

doi:10.1007/978-3-540-77980-3_8

Cited by 6 publications

(5 citation statements)

References 2 publications

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“…This system makes use of an in-vehicle positioning system along with two 77 GHz (later replaced with 24 GHz) radar sensors with rotating antennae to identify the speed of the approaching vehicles (using the Doppler Effect) and warn the driver of any potential conflict. The INTERSAFE research project proposed an intersection collision warning system that uses technologies such as video cameras, laser scanners, GPS, and digital mapping (Fuerstenberg and Chen, 2007;Fuerstenberg and Roessler, 2008).…”

Section: Collision Warning Systemsmentioning

confidence: 99%

Development of framework for in-vehicle collision warning system considering driver characteristics

Hassein¹

2021

Preprint

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Passing collisions are one of the most serious traffic safety problems on two-lane highways. The purpose of this dissertation is to develop a framework for a passing collision warning system (PCWS) for two-lane highways that can help drivers avoid passing collisions by reducing the chance of human error. Specifically, the objectives of this research are: (1) to conduct a comprehensive literature review of existing collision warning systems, (2) to design driving simulator and field experiments for data collection, (3) to develop deterministic and reliability-based models for passing sight distance (PSD) that consider driver characteristics, (4) to develop an in-vehicle passing collision warning system, and (5) to develop a Simulink model that implements the proposed PCWS in a real time environment. A driving simulator was used to collect data from participants (males and females of different ages). The field study data werecollected on real highways using an in-vehicle video camera and a GPS data logger. The driving simulator and field data were used to develop the passing parameters for the proposed PSD model. The estimated parameters included initial time, passing time, and average acceleration rate. The results of the model were compared with those from existing models and design guidelines. The results revealed that the existing PSD models were either too liberal or too conservative. The reliability-based PSD model was developed using the First-Order Second-Moments method and a Monte Carlo Simulation was used to validate the model. The proposed PCWS uses a radar sensor placed in the passing vehicle to detect opposing vehicles travelling in the left lane and calculate their relative distance and speed in order to estimate the time to collision. This time is then compared with the time required for the passing vehicle to clear the path. The “safe pass” signal can assist passing drivers in preparing for a safe passing maneuver during the overtaking process. A Simulink MATLAB model was developed and used to implement the methodology of the proposed warning system. The different factors that affect system accuracy were examined. The application of the system was illustrated using an example.

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Section: Collision Warning Systemsmentioning

confidence: 99%

Development of framework for in-vehicle collision warning system considering driver characteristics

Hassein¹

2021

Preprint

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“…In the field of Advanced Driver Assistance Systems (ADAS), several systems have been proposed to reduce road accidents in the past. Most systems rely on onboard perception sensors such as computer vision and laser scanning (e.g., [4,5]). Both technologies have limitations and strengths [6,7].…”

Section: State Of the Artmentioning

confidence: 99%

“…Most systems rely on onboard perception sensors such as computer vision and laser scanning (e.g. [4,5]). Both technologies have limitations and strengths [6,7].…”

Section: State Of the Artmentioning

confidence: 99%

Reducing Unnecessary Alerts in Pedestrian Protection Systems Based on P2V Communications

et al. 2019

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There are different proposals in the literature on how to protect pedestrians using warning systems to alert drivers of their presence. They can be based on onboard perception systems or wireless communications. The evaluation of these systems has been focused on testing their ability to detect pedestrians. A problem that has received much less attention is the possibility of generating too many alerts in the warning systems. In this paper, we propose and analyze four different algorithms to take the decision on generating alerts in a warning system that is based on direct wireless communications between vehicles and pedestrians. With the algorithms, we explore different strategies to reduce unnecessary alerts. The feasibility of the implementation of the algorithms was evaluated with a deployment using real equipment, and tests were carried out to verify their behavior in real scenarios. The ability of each algorithm to reduce unnecessary alerts was evaluated with realistic simulations in an urban scenario, using a traffic simulator with vehicular and pedestrian flows. The results show the importance of tackling the problem of driver overload in warning systems, and that it is not straightforward to predict the load of alerts generated by an algorithm in a large-scale deployment, in which there are multiple interactions between vehicles and pedestrians.

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“…However, it does not cover cooperative behaviors and lifecycle perspective of ITS. In [11], an evaluation and testing of the two demonstrator vehicles developed for intersection driver assistance is described. The dynamic risk assessment (DRA) is supported through object tracking and classification and the communication of traffic management and driver intention.…”

Section: Related Workmentioning

confidence: 99%

Towards an Ontology-Based Approach to Safety Management in Cooperative Intelligent Transportation Systems

Chen

Asplund

Östberg³

et al. 2015

Advances in Intelligent Systems and Computing

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Abstract. The expected increase in transports of people and goods across Europe will aggravate the problems related to traffic congestion, accidents and pollution. As new road infrastructure alone would not solve such problems, Intelligent Transportation Systems (ITS) has been considered as new initiatives. Due to the complexity of behaviors, novel methods and tools for the requirements engineering, correct-by-construction design, dependability, product variability and lifecycle management become also necessary. This chapter presents an ontology-based approach to safety management in Cooperative ITS (C-ITS), primarily in an automotive context. This approach is supposed to lay the way for all aspects of ITS safety management, from simulation and design, over runtime risk assessment and diagnostics. It provides the support for ontology driven ITS development and its formal information model. Results of approach validation in CarMaker are also given in this Chapter. The approach is a result of research activities made in the framework of Swedish research initiative, referred to as SARMITS (Systematic Approach to Risk Management in ITS Context).

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Results of the EC-Project INTERSAFE

Cited by 6 publications

References 2 publications

Development of framework for in-vehicle collision warning system considering driver characteristics

Development of framework for in-vehicle collision warning system considering driver characteristics

Reducing Unnecessary Alerts in Pedestrian Protection Systems Based on P2V Communications

Towards an Ontology-Based Approach to Safety Management in Cooperative Intelligent Transportation Systems

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