Results 31 to 40 of about 22,275 (285)
What Affects Bus Passengers’ Travel Time? A View from the Built Environment and Weather Condition
The study aims to examine the impact of the built environment and weather conditions on travel time for bus passengers in Weinan, China. Various sources of data, including smart card data, bus GPS data, bus station data, road information data, and smart ...
Xiaowei Li +4 more
doaj +1 more source
Statistical modelling of bus travel time with Burr distribution [PDF]
A better understanding of the travel time distribution shape or pattern could improve the decision made by the transport operator to estimate the travel time required for the vehicle to travel from one place to another.
Low Victor Jian Ming +2 more
doaj +1 more source
Real-time bus travel speed estimation model based on bus GPS data
Bus travel speed is the fundamental indicator for the bus operation dynamic monitoring, traveler’s information service, as well as the bus service evaluation.
Jiancheng Weng +4 more
doaj +1 more source
VARIABILITY OF PARATRANSIT TRAVEL TIMES: THE CASE OF KUMASI, GHANA
While much has been reported about bus travel times and their variability for formal bus services, little is known about travel time variation for paratransit, the dominant means of transportation in most low- and middle-income countries (LMICs).
George Ukam +3 more
doaj +1 more source
Factors Improving Bus Transferability as the Choice-Mode of Passengers at Bambalapitiya Railway Station [PDF]
Inadequacy and inefficiency of public bus transport as a mode of transfer at railway stations has led passengers to switch other modes to reach their destinations.
C.T. Danthanarayana, W.G.H.A. Welarathna
doaj +1 more source
Optimal Multimodal Travelway Design for an Urban Street Network
This study introduces a bi-level model for optimal travelway design of an urban street network by successively executing a lower-level model for traffic assignments and an upper-level model for network travel time minimization. A computational experiment
Yan Huang, Zongzhi Li
doaj +1 more source
This paper aims to explore the factors influencing passengers’ satisfaction toward bus transit and develop the improvement strategy for the small-medium city.
Xiaowei Li +4 more
doaj +1 more source
ARIMA models for bus travel time prediction [PDF]
In this paper, the time series model, Autoregressive Integrated Moving Average (ARIMA) is used to predict bus travel time. ARIMA model is simpler used for predicting bus travel time based on travel time series data (historic data) compared to regression ...
Husna Zayadi
core +1 more source
Travel time prediction is critical for advanced traveler information systems (ATISs), which provides valuable information for enhancing the efficiency and effectiveness of the urban transportation systems.
Jianqing Wu +3 more
doaj +1 more source
The cost of bus travel time variability [PDF]
The reliability of bus systems is a vital issue on the transport agenda, since urban areas are yearning for high quality alternatives for the private car. A key indicator of reliability is a low level of day-to-day travel time variability (TTV).
Hollander, Yaron
core

