Proceedings of the International Conference on Communication and Electronic Information Engineering (CEIE 2016)

Estimation of Highway Section Traffic Flow Based on Toll Data

Authors
Junfeng Zhang, Yunpeng Wang, Haiyang Yu
Corresponding Author
Junfeng Zhang
Available Online October 2016.
DOI
https://doi.org/10.2991/ceie-16.2017.23How to use a DOI?
Keywords
Toll Data; Dijkstra Algorithm; Section Flow
Abstract
With the rapid development of high-speed signal processing devices, the algorithm with large amounts of data can be implemented in real-time. This paper proposes a kind of signal processing system based on five pieces of multi-core DSP. Firstly, the interface circuit and program between FPGA and DSP, DSP and DSP, the system and computer are designed and tested. Then, this paper puts forward that the system can use Semaphore2 to schedule the task and use DDR3 as well as MSCM to share the data. Finally, the system is tested by using the imaging algorithm with a large amount of data. The time-consuming results of the system and imaging results demonstrate that this system is able to process the algorithm with a large amount of data in real-time.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Volume Title
Proceedings of the International Conference on Communication and Electronic Information Engineering (CEIE 2016)
Series
Advances in Engineering Research
Publication Date
October 2016
ISBN
978-94-6252-312-8
ISSN
2352-5401
DOI
https://doi.org/10.2991/ceie-16.2017.23How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Junfeng Zhang
AU  - Yunpeng Wang
AU  - Haiyang Yu
PY  - 2016/10
DA  - 2016/10
TI  - Estimation of Highway Section Traffic Flow Based on Toll Data
BT  - Proceedings of the International Conference on Communication and Electronic Information Engineering (CEIE 2016)
PB  - Atlantis Press
SP  - 166
EP  - 175
SN  - 2352-5401
UR  - https://doi.org/10.2991/ceie-16.2017.23
DO  - https://doi.org/10.2991/ceie-16.2017.23
ID  - Zhang2016/10
ER  -