A new measure for evaluating spatially related properties of traffic information credibility

LI Hai-jian(李海舰), DONG Hong-hui(董宏辉), JIA Li-min(贾利民), REN Mo-yu(仁墨羽), QIN Yong(秦勇)

(State Key Laboratory of Rail Traffic Control and Safety (Beijing Jiaotong University), Beijing 100044, China)

Abstract:With the wide applications of sensor network technology in traffic information acquisition systems, a new measure will be quite necessary to evaluate spatially related properties of traffic information credibility. The heterogeneity of spatial distribution of information credibility from sensor networks is analyzed and a new measure, information credibility function (ICF), is proposed to describe this heterogeneity. Three possible functional forms of sensor ICF and their corresponding expressions are presented. Then, two feasible operations of spatial superposition of sensor ICFs are discussed. Finally, a numerical example is introduced to show the calibration method of sensor ICF and obtain the spatially related properties of expressway in Beijing. The results show that the sensor ICF of expressway in Beijing possesses a negative exponent property. The traffic information is more abundant at or near the locations of sensor, while with the distance away from the sensor increasing, the traffic information credibility will be declined by an exponential trend. The new measure provides theoretical bases for the optimal locations of traffic sensor networks and the mechanism research of spatial distribution of traffic information credibility.

Key words:traffic engineering; information credibility function; traffic information credibility; spatially related properties; sensor networks