Traffic incident detection: Sensors and algorithms

Weil, Rimona S; Wootton, John C.; García‐Ortiz, A.

doi:10.1016/s0895-7177(98)00064-8

Cited by 74 publications

(28 citation statements)

References 3 publications

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“…Nowadays, the main types of the design of traffic information collecting system, generally used in vehicle anti-collision, are shown as follows, that is, using single chip microcomputer for data analysis, PC-centric (industrial control computer), using DSP for data analysis and so on. [1] In the design process of the obstacle-avoiding early warning system of embedded electronic guide dog, we firstly has carried on a comprehensive evaluation and analysis for each scheme, and then put forward a new idea that it introduces the open source embedded real-time operating system uCLinux, with a high-powered ARM core as the core processor. [2] We take this as the foundation, expanding a variety of the functions required, for instance, the function of USB communication interface, and human-machine interface.…”

Section: The Design Of Embedded Electronicmentioning

confidence: 99%

On the Warning System of Obstacle Avoidance of Embedded Electronic Guide Dogs

Xiangyu¹

2013

ACIS

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Abstract:With the rapid development of China's transportation, the frequency of traffic accidents is also high. This not only restricted the development of China's transportation greatly, but also threatened to people's safety seriously. In particular, the accidents caused by the blind due to there are more frequent reproduction, so their traffic safety has become a big issue to solve urgently. In the program, a new type of "warning system of obstacle avoidance of embedded electronic guide dog" has been developed on the basis of careful analysis of all kinds of present anti-collision warning systems, which has a core micro-controller, 32-bit ARM7 microprocessor, and takes the embedded operating system uCLinux as its platform. Such warning system of obstacle avoidance of embedded electronic guide dog can effectively eliminate the impact of the traffic environment and the subjective factors of the blind, warning in advance for the travelling blind in time, effectively avoiding obstacles such as vehicles, to reduce traffic accidents caused by the their blindness. This humane technology innovation is the specific embodiment of environmental science and technology aesthetic theory in the field of scientific and technological innovation. It has a positive and promoting role to the development of transportation and blind-man welfare in China.

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Section: The Design Of Embedded Electronicmentioning

confidence: 99%

On the Warning System of Obstacle Avoidance of Embedded Electronic Guide Dogs

Xiangyu¹

2013

ACIS

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“…They are less prone to damage compared to loop detectors embedded in road pavement, and possess surveillance capability. They are also able to provide the homogeneity of traffic measurements with greater reliability during nonincident conditions (Weil et al, 1998). Hence, there is a need to develop a new effective and efficient detection algorithm which uses video-based traffic measurements (referred to here as video-based algorithm).…”

Section: Video-based Detector Systemmentioning

confidence: 99%

Single-Station Algorithm Using Video-Based Data for Detecting Expressway Incidents

Mak

Fan

2006

Comp-aided Civil Eng

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Most automatic incident detection algorithms were successfully developed using loop-detector-based traffic measurements collected from their own localities. But their detection performances were not satisfactory when applied on data collected using a video-based detector system. The video-based detector system is gaining popularity as it was reported to be cost-effective, less prone to damage compared to loop detectors embedded in road pavement, and possesses surveillance capability. It is able to provide the homogeneity of traffic measurements with greater reliability in non-incident situations. In this study, a simple detection rule was used to develop algorithms that use video-based data for detecting lane-blocking incidents. A set of 96 incidents from Singapore's Central Expressway was used for calibrating these algorithms, with another 64 incidents for validation. Two single-station algorithms, named dual-variable (DV) and flow-based DV algorithms were developed. They have similar detection logic, but the latter includes a pre-incident traffic flow condition in its detection framework. On average, the flowbased DV algorithm outperformed the DV algorithm, and both proved to be effective techniques when compared to some existing loop-detector-based algorithms.

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“…The United States and Canada began to carry out researches on the traffic accident detection algorithms and the traffic flow harbinger characteristics before the traffic accident fro m 1990s [8][9][10][11][12][13][14][15]. A mong them, Chris adopted the speed differences between upstream and downstream, and the variances of the cross-section speed as the characterizat ion factors of the traffic flow real-time risk d iscrimination [9], the results of which was referenced by Kansas state highway agency of USA in 2006.…”

Section: Introductionmentioning

confidence: 99%

Research on Short-term Prediction Model of Freeway Operation Situation

Zhang

2017

MATEC Web Conf.

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Abstract. Based on the traffic flow data and accident data of Beijing-T ianjin-T anggu freeway, the security situation short-term prediction model was established in the paper. Firstly, we established the risk prediction database, and developed the pre-analysis software of basic data; secondly, the traffic flow data between 10 to 15 minutes prior to the time of accident were aggregated at 5-minute level, and the volume, speed, occupancy as well as their statistical parameters were selected; finally, based on the correlation analysis results of parameter s, the multi-parameters Logistic regression model was established. T he results indicate, the change of traffic flow parameters and their statistics can effectively predict the possibility of accident, in which the average value of speed of small car, the standard deviation of volume of large car and the average value of volume difference between large car and small car at 5-minute level have a significant impact on the risk of accident.

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Traffic incident detection: Sensors and algorithms

Cited by 74 publications

References 3 publications

On the Warning System of Obstacle Avoidance of Embedded Electronic Guide Dogs

On the Warning System of Obstacle Avoidance of Embedded Electronic Guide Dogs

Single-Station Algorithm Using Video-Based Data for Detecting Expressway Incidents

Research on Short-term Prediction Model of Freeway Operation Situation

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