A method of  Trajectory  Restoration at Intersection

With the rapidly increasing popularization of the automobile, challenges and greater demands have come to the fore, including traffic congestion, energy crises, traffic safety, and environmental pollution. To address these challenges and demands, enhanced data support and advanced data collection methods are crucial and highly in need. A probe-car serves as an important and effective way to obtain real-time urban road traffic status in the international Intelligent Transportation System (ITS), and probe-car technology provides the corresponding solution through advanced navigation data, offering more possibilities to address the above problems. In addition, massive spatial data-mining technologies associated with probe-car tracking data have emerged. This paper discusses the major problems of spatial data-mining technologies for probe-car tracking data, such as true path restoration and the close correlation of spatial data. To address the road-matching issue in massive probe-car tracking data caused by the strong correlation combining road topology with map matching, this paper presents a MapReduce-based technology in the second spatial data model. The experimental results demonstrate that by implementing the proposed spatial data-mining system on distributed parallel computing, the computational performance was effectively improved by five times and the hardware requirements were significantly reduced.

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“…In the spatial data mining of probe-car tracks, there are several key issues for the above data features [25,26]:…”

Section: The Key Issues In Probe-car Data Miningmentioning

confidence: 99%

Utilizing MapReduce to Improve Probe-Car Track Data Mining

Zheng

Sun

Luo

et al. 2018

IJGI

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Smart prepaid traffic fines system using RFID, IoT and mobile app

et al. 2019

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This work is intended to deliver an intelligent traffic system using radio frequency identification (RFID) technology. It designed and implemented in a way where fines are autonomously registered. In addition, a mobile app was built to assist traffic officers managing their field works. Low cost equipment's have been used such as RFID technology, passive tags, processing unit (personal computer), and a connection system. First stage is represented by collecting data using the RFID, where it reads any identified tag that attached with vehicles. Next, a certain data are transmitted to the server using internet network communication system. The server is responsible for processing these data according to a pre-defined rules. Finally, police officers can use the mobile app to perform several tasks according the processed data such as monitoring a specific car, register a new car ID and others.

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A method of Trajectory Restoration at Intersection

Abstract: Floating car data (FCD) is vechiel's position trace that is comes from Global

Cited by 2 publications

References 13 publications

Utilizing MapReduce to Improve Probe-Car Track Data Mining

Utilizing MapReduce to Improve Probe-Car Track Data Mining

Smart prepaid traffic fines system using RFID, IoT and mobile app

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