منابع مشابه
Determinants of Bus Dwell Time
Bus dwell time data collection typically involves labor-intensive ride checks. This paper reports an analysis of bus dwell times that use archived automatic vehicle location (AVL)/automatic passenger counter (APC) data reported at the level of individual bus stops. The archived data provide a large number of observations that serve to better understand the determinants of dwells, including anal...
متن کاملGraph-Based Minimum Dwell Time and Average Dwell Time Computations for Discrete-Time Switched Linear Systems
Discrete-time switched linear systems where switchings are governed by a digraph are considered. The minimum (or average) dwell time that guarantees the asymptotic stability can be computed by calculating the maximum cycle ratio (or maximum cycle mean) of a doubly weighted digraph where weights depend on the eigenvalues and eigenvectors of subsystem matrices. The graph-based method is applied t...
متن کاملA Survey on Bus Tracking System with Arrival Time Prediction
In major cities public buses serve as a main source for public transportation System. It has been found that much research work has been carried out in this field using GPS-GSM technology to detect the bus and GPS technology to extract the location of the bus. Taking these aspects into consideration we have proposed a Bus Tracing System with Arrival Time Prediction, by which the commuters can g...
متن کاملDynamic Bus Travel Time Prediction Models on Road with Multiple Bus Routes
Accurate and real-time travel time information for buses can help passengers better plan their trips and minimize waiting times. A dynamic travel time prediction model for buses addressing the cases on road with multiple bus routes is proposed in this paper, based on support vector machines (SVMs) and Kalman filtering-based algorithm. In the proposed model, the well-trained SVM model predicts t...
متن کاملA Dynamic Bus-Arrival Time Prediction Model Based on APC Data
Automatic passenger counter (APC) systems have been implemented in various public transit systems to obtain bus occupancy along with other information such as location, travel time, etc. Such information has great potential as input data for a variety of applications including performance evaluation, operations management, and service planning. In this study, a dynamic model for predicting bus-...
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ژورنال
عنوان ژورنال: Procedia Engineering
سال: 2016
ISSN: 1877-7058
DOI: 10.1016/j.proeng.2016.01.260