Predicting public transit arrival: A nonlinear approach
A Achar, A Natarajan, R Regikumar… - … Research Part C …, 2022 - Elsevier
Arrival/Travel times for public transit exhibit variability on account of factors like seasonality,
dwell times at bus stops, traffic signals, travel demand fluctuation etc. The developing world …
dwell times at bus stops, traffic signals, travel demand fluctuation etc. The developing world …
Improved DTTE method for route-level travel time estimation on freeways
Travel time estimation plays an important role in advanced traveler information systems
(ATIS) for dynamic traffic management. Static travel time estimation (STTE) and dynamic …
(ATIS) for dynamic traffic management. Static travel time estimation (STTE) and dynamic …
Public Transit Arrival Prediction: a Seq2Seq RNN Approach
N Bhutani, S Pachal, A Achar - arXiv preprint arXiv:2210.01655, 2022 - arxiv.org
Arrival/Travel times for public transit exhibit variability on account of factors like seasonality,
dwell times at bus stops, traffic signals, travel demand fluctuation etc. The developing world …
dwell times at bus stops, traffic signals, travel demand fluctuation etc. The developing world …
[PDF][PDF] Dynamic Bus Arrival Time Prediction: A temporal difference learning approach
V LKP, A Achar, G Karthik - academia.edu
Public transport buses suffer travel time uncertainties owing to diverse factors such as dwell
times at bus stops, signals, seasonal variations and fluctuating travel demands etc. Traffic in …
times at bus stops, signals, seasonal variations and fluctuating travel demands etc. Traffic in …