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Data-driven bus timetabling with spatial-temporal travel time

Industrial Management & Data Systems, 2022
PurposeTravel time at inter-stops is a set of important parameters in bus timetabling, which is usually assumed to be normal (log-normal) random variable in literature. With the development of digital technology and big data analytics ability in the bus industry, practitioners prefer to generate deterministic travel time based on the on-board GPS data ...
Xiang Li 0006   +3 more
openaire   +1 more source

An Integrated Framework for Intercity Bus Scheduling Under Stochastic Bus Travel Times

Transportation Science, 2008
In this research, we develop an integrated framework to help the intercity bus carriers plan bus routes and schedules under stochastic bus travel times. Unlike past research, where stochastic disturbances in the planning and real-time stages are handled separately, the integrated framework embedded in an iterative solution process combines these two ...
Shangyao Yan, Ching-Hui Tang
openaire   +1 more source

Evaluation of Travel Time at Conventional Bus Stops

CICTP 2014, 2014
A limited number of berths can result in a bus stopping upstream of a bus stop when the berths are fully occupied. When this traffic situation occurs, passengers waiting on the platform usually prefer to walk to the stopped bus, which leads to additional walking time before boarding the bus.
Guangzhao Xin   +4 more
openaire   +1 more source

Travel Time Prediction between Bus Stations

ICCTP 2011, 2011
The impact of signalized intersections on the bus running process is analyzed between bus stops, and the predicted travel time is divided into two parts: passing intersection time and link travel time. The bus stopping and queuing characteristics at signalized intersections with bus stops upstream are analyzed, and the passing intersection time model ...
Xiang-long Sun, Jian Lu
openaire   +1 more source

The Effect of Varying Parameters and Focusing on Bus Travel Time Prediction

2009
Travel time prediction is an important tool for the planning tasks of mass transit and logistics companies. In this paper we investigate the use of regression methods for the problem of predicting the travel time of buses in a Portuguese public transportation company.
João Mendes-Moreira 0001   +3 more
openaire   +2 more sources

Modeling Bus Travel Delay and Travel Time for Improved Arrival Prediction

International Conference on Transportation and Development 2016, 2016
The focus of this paper is to research the relationship between dependent variables (bus travel delay and travel time per mile) and explanatory variables (road network, bus route and traffic characteristics), and develop models to estimate bus travel time from a bus-stop to the next bus-stop along a route.
Yashaswi Kotagiri   +1 more
openaire   +1 more source

Bus Route Travel Time Reliability Analysis Based on Travelers' Perceptions

ICTE 2011, 2011
With the rapid development of the economy, time for urban residents has become more and more valuable. As a key indicator of service performance, travel time reliability has become increasingly important in today's world as businesses as well as households require on-time transportation for their activities, and especially for a public transport system.
Chen, Chenghui, Xu, Yongneng, Fu, Xiaoli
openaire   +1 more source

Subjective value of time in bus transit travel

Transportation, 1981
A psychological scaling technique, magnitude estimation, is used to rate time spent on various elements of bus transit trips. Relative values of time are found for in-vehicle portions of trips, walking, waiting and transferring. Because magnitude estimation produces a ratio scale, results can be directly incorporated into modal choice analyses, route ...
openaire   +1 more source

Improving Bus Travel Times with Passive Traffic Signal Coordination

Transportation Research Record: Journal of the Transportation Research Board, 2009
A simulation optimization model is outlined: traffic signal offsets in intersections are calculated to minimize the travel time of bus users in an urban network. The model considers a passive signal priority system and restricts the maximal incremental delay caused to car users.
Estrada Romeu, Miguel Ángel   +3 more
openaire   +3 more sources

Inter-School Bus Scheduling Under Stochastic Travel Times

Networks and Spatial Economics, 2015
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yan, Shangyao   +2 more
openaire   +2 more sources

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