Improving mass transit operations by using AVL-based systems: A survey
Intelligent transportation systems based on automated data collection frameworks are widely
used by the major transit companies around the globe. This paper describes the current …
used by the major transit companies around the globe. This paper describes the current …
[PDF][PDF] Urban bus arrival time prediction: A review of computational models
M Altinkaya, M Zontul - International Journal of Recent Technology and …, 2013 - Citeseer
Traffic flow in major urban roads is affected by several factors. It is often interrupted by
stochastic conditions, such as traffic lights, road conditions, number of vehicles on the road …
stochastic conditions, such as traffic lights, road conditions, number of vehicles on the road …
Prediction of bus travel time using random forests based on near neighbors
B Yu, H Wang, W Shan, B Yao - Computer‐Aided Civil and …, 2018 - Wiley Online Library
The prediction of bus arrival time is important for passengers who want to determine their
departure time and reduce anxiety at bus stops that lack timetables. The random forests …
departure time and reduce anxiety at bus stops that lack timetables. The random forests …
Predicting bus passenger flow and prioritizing influential factors using multi-source data: Scaled stacking gradient boosting decision trees
W Wu, Y **a, W ** - IEEE Transactions on Intelligent …, 2020 - ieeexplore.ieee.org
Accurate bus passenger flow prediction contributes to informed decisions and full utilization
of transit supply. Passenger flow is affected by an extensive range of attributes featuring …
of transit supply. Passenger flow is affected by an extensive range of attributes featuring …
Bus arrival time prediction using support vector machines
Y Bin, Y Zhongzhen, Y Baozhen - Journal of Intelligent …, 2006 - Taylor & Francis
Effective prediction of bus arrival time is central to many advanced traveler information
systems. This article presents support vector machines (SVM), a new neural network …
systems. This article presents support vector machines (SVM), a new neural network …
Bus arrival time prediction using artificial neural network model
R Jeong, R Rilett - … . The 7th international IEEE conference on …, 2004 - ieeexplore.ieee.org
A major component of ATIS is travel time information. The provision of timely and accurate
transit travel time information is important because it attracts additional ridership and …
transit travel time information is important because it attracts additional ridership and …
A 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 …
transit systems to obtain bus occupancy along with other information such as location, travel …
Travel time prediction under heterogeneous traffic conditions using global positioning system data from buses
Travel time information is a vital component of many intelligent transportation systems (ITS)
applications. In recent years, the number of vehicles in India has increased tremendously …
applications. In recent years, the number of vehicles in India has increased tremendously …
Travel-time prediction of bus journey with multiple bus trips
Accurate travel-time prediction of public transport is essential for reliable journey planning in
urban transportation systems. However, existing studies on bus travel-/arrival-time prediction …
urban transportation systems. However, existing studies on bus travel-/arrival-time prediction …
Bus travel time prediction using a time-space discretization approach
The accuracy of travel time information given to passengers plays a key role in the success
of any Advanced Public Transportation Systems (APTS) application. In order to improve the …
of any Advanced Public Transportation Systems (APTS) application. In order to improve the …