TY - GEN
T1 - RIMAC project
T2 - 2017 International Smart Cities Conference, ISC2 2017
AU - Choy, Jose Luis Calderon
AU - Caballero, Luis Camacho
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/10/30
Y1 - 2017/10/30
N2 - Provision of reliable traffic data could cause a reduction of the traffic problem. In a previous paper, the authors developed the core of RIMAC, an information system that allows the introduction of new and reliable sources of information from camcorders, traffic lights or mobile phones. With these new data sources, RIMAC is able to provide many more realistic reports. This paper describes the development of the second part of the project: The interconnection of the core with a source of information: A camera network. In order to avoid congestion or loss of data packets, thinking of non-optical fiber networks, speed reports will be sent to the RIMAC core instead of unprocessed images. In situ, at each camera node, speed calculation is done using a C++ computer vision application and the OpenCV's Libraries over an SBC (Single Board Computer) Raspberry Pi2 with a CMOS (complementary metal oxide semiconductor) camera. The first testbed was done in a few streets of Lima, an emerging South American city where live about 10 million people. Lima is beginning a long-Term transportation reform plan, activists are pushing for introducing the right paradigms of citizenship and appropriate technology, like RIMAC, into the plan.
AB - Provision of reliable traffic data could cause a reduction of the traffic problem. In a previous paper, the authors developed the core of RIMAC, an information system that allows the introduction of new and reliable sources of information from camcorders, traffic lights or mobile phones. With these new data sources, RIMAC is able to provide many more realistic reports. This paper describes the development of the second part of the project: The interconnection of the core with a source of information: A camera network. In order to avoid congestion or loss of data packets, thinking of non-optical fiber networks, speed reports will be sent to the RIMAC core instead of unprocessed images. In situ, at each camera node, speed calculation is done using a C++ computer vision application and the OpenCV's Libraries over an SBC (Single Board Computer) Raspberry Pi2 with a CMOS (complementary metal oxide semiconductor) camera. The first testbed was done in a few streets of Lima, an emerging South American city where live about 10 million people. Lima is beginning a long-Term transportation reform plan, activists are pushing for introducing the right paradigms of citizenship and appropriate technology, like RIMAC, into the plan.
KW - APTS
KW - ITS
KW - Open-StreetMaps
KW - OpenCV
KW - pgRouting
KW - pgSQL
KW - PostGIS
KW - Raspberry
KW - Traffic
UR - https://www.scopus.com/pages/publications/85039936468
U2 - 10.1109/ISC2.2017.8090786
DO - 10.1109/ISC2.2017.8090786
M3 - Conference contribution
AN - SCOPUS:85039936468
T3 - 2017 International Smart Cities Conference, ISC2 2017
BT - 2017 International Smart Cities Conference, ISC2 2017
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 14 September 2017 through 17 September 2017
ER -