Instantaneous Prediction of Vehicle Outline Conflict Using High-frequency and High-precision Positioning Information

WU Ming-xian1,2 XU Tian1,2 LIU Jian-bei1,2 ZHAO Chao-jie1,2 GAO Jin-sheng1,2 LI Zhi-feng3

(1.CCCC First Highway Consultants Co., Ltd., Xi’an, Shaanxi, China 710065)
(2.Research and Development Center on Emergency Support Technologies for Transport Safety Ministry of Transport, Xi’an, Shaanxi, China 710065)
(3.Guangdong Road and Bridge Construction Development Co., Ltd., Guangzhou, Guangdong, China 510623)

【Abstract】The vehicle collision warning system is a key component of advanced driver assistance systems (ADAS), which can effectively reduce the traffic accident rate. The core technology of the vehicle collision warning system involves the detection of distance to a vehicle in front by multiple on-board sensors and the determination of safety indicators. However, owing to its high cost and environmentally sensitive nature, this method is not widely promoted. This paper proposed a novel method based on a BeiDou Navigation Satellite System (BDS), which has recently gained popularity in the field of transportation. First, position information at the centimeter-level was collected by the on-board terminal at a frequency of 5 Hz by using the BDS-based continuously operating reference station (CORS) system built along the highway. Second, a model was proposed to predict the vehicle outline conflict at the target moment. This was demonstrated in a 7 km section of an expressway in Xi’an. From the field experiment, 6 000 samples were collected. The results indicate (1) in a static state, a centimeter precision level is achieved; (2) At speeds of 80–100 km·h−1, a decimeter precision level is attained; (3) The standard deviation of the errors between the actual values and predicted values for the lateral and longitudinal distance can reach up to centimeter-level and decimeter-level respectively. The method proposed in this paper is feasible and extendable because of the high precision of the model.

【Keywords】 traffic engineering; advanced driver assistance system; experimental research; high-precision positioning information; instantaneous prediction of vehicle outline conflict ; active safety;


【Funds】 National Key R&D Program of China (2017YFC0803906) Technology Special Project of Guangdong Province (2017-01-002-007).

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This Article


CN: 61-1313/U

Vol 32, No. 06, Pages 105-113

June 2019


Article Outline


  • 0 Introduction
  • 1 Acquisition method of high-frequency and high-precision vehicle positioning information
  • 2 Construction of prediction model of vehicle outline conflict based on positioning information
  • 3 Target moment selection and warning grade classification
  • 4 Evaluation of model precision
  • 5 Conclusions
  • References