Road Traffic Congestion (TraCo) Estimation Using Multi-Layer Continuous Virtual Loop (MCVL)

Abstract

Any road traffic management application of intelligent transportation systems (ITS) requires traffic characteristics data such as vehicle density, speed, etc. This paper proposes a robust and novel vehicle detection framework known as multi-layer continuous virtual loop (MCVL) that uses computer vision techniques on road traffic video to estimate traffic characteristics. Estimations of traffic data such as speed, area occupancy and an exclusive spatial feature named as corner detail value (CDV) acquired using MCVL are proposed. Further, the estimation of traffic congestion (TraCo) level using these parameters is also presented. The performances of the entire framework and TraCo estimation are evaluated using several benchmark traffic video datasets and the results are presented. The results show that the improved accuracy in vehicle detection process using MCVL subsequently improves the precision of TraCo estimation. This also means that the proposed framework is well suited to applications that need traffic characteristics to update their traffic information system in real time.

Improved biogeography-based optimization algorithm for lean production scheduling of prefabricated components

“…Meanwhile, the research gaps and the limitations discussed in the above paragraph are the actual needs of the supply chain of prefabricated components. The delivery of prefabricated components on time is the key factor affecting the progress of the project (Liang and Hu, 2017; Sankaranarayanan et al. , 2021).…”

“…Meanwhile, the research gaps and the limitations discussed in the above paragraph are the actual needs of the supply chain of prefabricated components. The delivery of prefabricated components on time is the key factor affecting the progress of the project (Liang and Hu, 2017;Sankaranarayanan et al, 2021). At the same time, it is necessary to minimize wasteful activities of prefabricated components during the production process and expanding effective activities in the normal production process (Wang et al, 2019a).…”