scholarly journals An Efficient Big Data Analytic for Forecasts the User Behavior Bus Rapid Transit System

2019 ◽  
Vol 8 (3S2) ◽  
pp. 263-265
Keyword(s):  
User Behavior ◽  
Mass Transit ◽  
Transport Sector ◽  
Bus Rapid Transit ◽  
Transit System ◽  
Fast Pace ◽  
Transport Vehicle ◽  
Pertinent Feature ◽  
Data Analytic

The present paper proposes in road based mass transit system, this stage might be a solution to consider by provides quality of service. This text propose a path of predict stage for this sort of transport system. This system estimates time by acknowledging its historical behavior, diagrammatic by historical profiles, and more additionally those present conduct recorded on the overall public transport vehicle that the prediction is will be made. The model employments those k-medoids bunch algorithmic system on get historical travel chance profiles. A pertinent feature of the model may be that it doesn't necessity later period knowledge from elective vehicles. To this reason, the planned model may be also used on intercity transport contexts in which service coming up with is administrated per timetables. The fast pace of developments in computer science (AI) is providing new opportunities to boost the performance of various industries and businesses, together with the transport sector. The innovations introduced by AI embody extremely advanced procedure ways that mimic the means the human brain works.

Effect of Fare Policies on Dwell Time

2017 ◽  
Vol 2649 (1) ◽  
pp. 20-27 ◽  
Author(s):  
Mark Egge ◽  
Zhen (Sean) Qian ◽  
Amy Silbermann
Keyword(s):  
Dwell Time ◽  
Natural Experiment ◽  
Mass Transit ◽  
Bus Rapid Transit ◽  
Rapid Transit ◽  
Allegheny County ◽  
Transit System ◽  
Transit Systems ◽  
Location Data ◽  
Transit Routes

Bus fares may be collected when passengers board or immediately before they alight. Little work has been done to quantify the impacts of entry fare and exit fare policies on passenger stop delay, namely the dwell time. The Port Authority of Allegheny County (PAAC), Pennsylvania, is one of few mass transit systems to currently employ both entry fare and exit fare policies. PAAC’s alternating fare policy offers an ideal natural experiment for investigating the effect of fare collection policy on dwell time. PAAC automated passenger counter and automatic vehicle location data were analyzed to estimate dwell time under no fare collection and entry fare and exit fare policies. The study found that the choice of fare policy can significantly affect the dwell time associated with fare payment but also that the effect of fare policy varies with route characteristics. The findings suggest that a transit system that seeks to minimize the contribution of fare payment to total trip dwell time may be most effective by operating an entry fare policy on local routes with frequent stops and evenly distributed ridership and an exit fare policy on express and bus rapid transit routes with fewer stops and substantial passenger movements at major stops.

Big data analytic for estimation of origin-destination matrix in Bus Rapid Transit system

2017 ◽  
Author(s):  
Widyawan ◽  
Bagas Prakasa ◽  
Dzaky Widya Putra ◽  
Sri Suning Kusumawardani ◽  
Budi Triwibowo Yuli Widhiyanto ◽  
...  
Keyword(s):  
Big Data ◽  
Bus Rapid Transit ◽  
Rapid Transit ◽  
Transit System ◽  
Data Analytic

Factors that influence the quality of services provided by the bus rapid transit system

2018 ◽  
Vol 25 (9) ◽  
pp. 4035-4057 ◽  
Author(s):  
Joás Tomaz de Aquino ◽  
Juliana Valença de Souza ◽  
Vanessa de Cássia Lima da Silva ◽  
Taciana de Barros Jerônimo ◽  
Fagner José Coutinho De Melo
Keyword(s):  
Quality Standard ◽  
Bus Rapid Transit ◽  
Rapid Transit ◽  
Transit System ◽  
Content Type ◽  
Five Factors ◽  
Level Of Satisfaction ◽  
Service Staff ◽  
Regression Techniques

Purpose This study analyses the factors that can influence the quality of service provided by the bus rapid transit (BRT) system in the state of Pernambuco. It is incipient, considering that the system was implemented in this state in 2014 to the World cup. In this context, the purpose of this paper is to identify the factors considered important for the services provided by this system and their impact on perceived quality. Design/methodology/approach The authors analyzed the data using exploratory factorial analysis, and linear and quantile regression techniques. Regarding the classification, this research is applied, exploratory, descriptive and in the form of a case study describing the situation experienced by the users of BRT in Pernambuco. Findings The results showed that it was possible to identify five factors that impact the level of satisfaction of the offered services: fluency in the provision of the service; staff training; physical conditions in the provision of the service; convenience/accessibility; and integration between transport lines. Originality/value With initial identification, factors 1, 3, 4 and 5 have been found to have an impact on overall service quality in a positive and statistically significant way. Factors 3 and 4 have a different impact with high- and low-quality standard perceived by users, and these should be the guiding elements by companies in establishing actions to improve the services offered.

Institutional and Regulatory Options for Bus Rapid Transit in Developing Countries

2005 ◽  
Vol 1939 (1) ◽  
pp. 184-191 ◽  
Author(s):  
Walter Hook
Keyword(s):  
Lower Cost ◽  
Smooth Transition ◽  
Bus Rapid Transit ◽  
Rapid Transit ◽  
Transit System ◽  
Hub And Spoke ◽  
Bus Routing ◽  
Private Sector Investment

An increasing number of cities are looking at bus rapid transit (BRT) as a lower-cost alternative to meeting their mass transit needs. Less fully explored, however, has been the link between BRT and the implementation of transit system regulatory reforms. In a growing number of cities around the world, the introduction of a BRT system has also been used to implement some important long-term transit-sector reforms. Because BRT makes bus operations more profitable, the introduction of BRT gives the municipality additional leverage to demand more from private operators. This paper discusses how, in an increasing number of cities, BRT projects have been used to ( a) facilitate a smooth transition to a sometimes more efficient trunk-and-feeder or hub-and-spoke bus routing system, ( b) increase private-sector investment in the transit system, and ( c) change private bus operating contracts to include quality-of-service requirements.

Life cycle emissions from a Bus Rapid Transit system and comparison with other modes of passenger transportation

2016 ◽  
Vol 6 (3) ◽  
pp. 123-134 ◽  
Author(s):  
Yohen Cuéllar ◽  
Rodrigo Buitrago Tello ◽  
Luis Carlos Belalcazar Ceronn
Keyword(s):  
Life Cycle ◽  
Bus Rapid Transit ◽  
Rapid Transit ◽  
Transit System ◽  
Passenger Transportation

MODEL DISTRIBUSI PERJALANAN PENDUDUK UNTUK PENENTUAN KORIDOR ‘LRT’ DI PULAU BATAM

2013 ◽  
Vol 12 (3) ◽  
Author(s):  
Djoko Prijo Utomo
Keyword(s):  
Network Performance ◽  
Travel Demand ◽  
Mass Transit ◽  
Distribution Model ◽  
Economic Activities ◽  
Transit System ◽  
Trip Distribution ◽  
Home Interview ◽  
Interview Survey ◽  
Private Car

In consequence of the increasing of regional economic activities in Pulau Batam, a reliable transportation system is required. Decreasing road network performance as a result of increasing traffic volume needs a strategic planning to anticipate the worsening condition in the future. One of the solutions is by providing mass transit system which is expected to attract private car users. Therefore, determination of potential corridor of mass transit system need to be identified so that the system provide better accessibility. Trip pattern in Pulau Batam must be known by developing trip distribution model. The trip distribution model is calibrated using origin-destination (O-D) data that is based on home interview survey. The validated model will be used to forecast and simulate travel demand onto transport network. Result of model calibration process shows mean trip length difference between model and survey is equal 0.141 %. From simulation of trip assignment is obtained that potential corridor for mass transit system using LRT is Batu Ampar – Batu Aji via Muka Kuning. Passenger forecast in the year 2030 is 193,990 passenger/day (2 directions).

Urban Transport

2018 ◽  
Author(s):  
José van
Keyword(s):  
Urban Areas ◽  
Urban Transport ◽  
Transport Sector ◽  
Public And Private ◽  
Transport Services ◽  
Ride Sharing ◽  
The World ◽  
Private And Public ◽  
Selection Mechanisms

Platformization affects the entire urban transport sector, effectively blurring the division between private and public transport modalities; existing public–private arrangements have started to shift as a result. This chapter analyzes and discusses the emergence of a platform ecology for urban transport, focusing on two central public values: the quality of urban transport and the organization of labor and workers’ rights. Using the prism of platform mechanisms, it analyzes how the sector of urban transport is changing societal organization in various urban areas across the world. Datafication has allowed numerous new actors to offer their bike-, car-, or ride-sharing services online; selection mechanisms help match old and new complementors with passengers. Similarly, new connective platforms are emerging, most prominently transport network companies such as Uber and Lyft that offer public and private transport options, as well as new platforms offering integrated transport services, often referred to as “mobility as a service.”

scholarly journals A standardized framework for testing the performance of sleep-tracking technology: step-by-step guidelines and open-source code

SLEEP ◽  
2020 ◽  
Author(s):  
Luca Menghini ◽  
Nicola Cellini ◽  
Aimee Goldstone ◽  
Fiona C Baker ◽  
Massimiliano de Zambotti
Keyword(s):  
Open Source ◽  
Validation Studies ◽  
Large Scale ◽  
Analytical Framework ◽  
Clinical Settings ◽  
Large Scale Data ◽  
Fast Pace ◽  
Epoch Analysis ◽  
Tracking Devices

Abstract Sleep-tracking devices, particularly within the consumer sleep technology (CST) space, are increasingly used in both research and clinical settings, providing new opportunities for large-scale data collection in highly ecological conditions. Due to the fast pace of the CST industry combined with the lack of a standardized framework to evaluate the performance of sleep trackers, their accuracy and reliability in measuring sleep remains largely unknown. Here, we provide a step-by-step analytical framework for evaluating the performance of sleep trackers (including standard actigraphy), as compared with gold-standard polysomnography (PSG) or other reference methods. The analytical guidelines are based on recent recommendations for evaluating and using CST from our group and others (de Zambotti and colleagues; Depner and colleagues), and include raw data organization as well as critical analytical procedures, including discrepancy analysis, Bland–Altman plots, and epoch-by-epoch analysis. Analytical steps are accompanied by open-source R functions (depicted at https://sri-human-sleep.github.io/sleep-trackers-performance/AnalyticalPipeline_v1.0.0.html). In addition, an empirical sample dataset is used to describe and discuss the main outcomes of the proposed pipeline. The guidelines and the accompanying functions are aimed at standardizing the testing of CSTs performance, to not only increase the replicability of validation studies, but also to provide ready-to-use tools to researchers and clinicians. All in all, this work can help to increase the efficiency, interpretation, and quality of validation studies, and to improve the informed adoption of CST in research and clinical settings.

Sign in / Sign up

Export Citation Format

Share Document