Titlebook: ;

hemophilia

A Scheduling Plan Model for Metro Crew Incorporating Fatigue and Biological Rhythms,west cost as the objective, ignoring the metrzzo crew members’ fatigue and biological rhythms. This paper proposed an optimization approach considering fatigue‘s impact on solving real-world metro crew scheduling and rostering problems. The shift work characteristics of the metro crew were analyzed

原谅

Evaluation of Park and Ride Effect Based on Fuzzy Analytic Hierarchy Process, evaluate park-and-ride effect analysis based on multiple park-and-ride point of field survey and access to relevant data, select more concerned about when the passengers to transfer to the three level indicators and nine secondary indicators, quantify the indexes, and the weight of each index is ob

Antarctic

Exploiting Multi-Dec Net for Detecting Traffic Congestion in the Surveillance System,s, which are not fully utilized. With the widespread application of deep learning in the transportation field, we proposed a congestion classification method based on Convolutional Neural Network. First, we obtain representative data from different camera angles, weather, and light conditions from t

引水渠

Signal Control Method for Modern Roundabouts with Waiting Areas to Meet High Traffic Demands,g through the roundabout when the signal control method of Two-Stopline-for-Left-Turn control (TSLT) is adopted. A method for setting up the waiting area and coordinating the traffic signal between the approach lanes and the loop lanes is proposed. With the help of the loop lane space, the through a

Cognizance

chassis

Fast Path Planning for Fixed-Wing Unmanned Aerial Vehicle with Multiple Constraints,V, a multi-constraint UAV path planning model is constructed with the minimum flight range and correction times as the objective function. The improved A* algorithm is used to solve the problem: in order to adapt to the model, the objective function of the model is used as the evaluation function; i

LEVY

Urban Rail Transit and Economic Agglomeration: A Case Study in China,19 in mainland of China are selected as the study subjects. Subsequently, this study gathers panel data of the cities from 2010 to 2019 including the extent of URT, economic agglomeration and control variables. Finally, a non-spatial panel data model and four spatial econometric models are establish

澄清

不感兴趣

Traffic Lights Recognition Based on Position Feature,mages were processed by the ROI (region of interest) extraction, image enhancement, grayscale binarization processing and morphological processing. Then the contour search and connected domain filtering algorithm were used to extract the traffic signal backlight backplane area, thus detecting and se

门闩