A review of travel time estimation and forecasting for advanced traveller information systems
U Mori, A Mendiburu, M Álvarez… - … A: Transport Science, 2015 - Taylor & Francis
Due to the increase in vehicle transit and congestion in road networks, providing information
about the state of the traffic to commuters has become a critical issue for Advanced Traveller …
about the state of the traffic to commuters has become a critical issue for Advanced Traveller …
Towards data-driven car-following models
V Papathanasopoulou, C Antoniou - Transportation Research Part C …, 2015 - Elsevier
Car following models have been studied with many diverse approaches for decades.
Nowadays, technological advances have significantly improved our traffic data collection …
Nowadays, technological advances have significantly improved our traffic data collection …
Dynamic bus travel time prediction models on road with multiple bus routes
Accurate and real‐time travel time information for buses can help passengers better plan
their trips and minimize waiting times. A dynamic travel time prediction model for buses …
their trips and minimize waiting times. A dynamic travel time prediction model for buses …
Modelling the effects of real-time crowding information in urban public transport systems
Public transport (PT) overcrowding is a notorious problem in urban transport networks. Its
negative effects upon travel experience can be potentially addressed by disseminating real …
negative effects upon travel experience can be potentially addressed by disseminating real …
Quantitative analysis of probe data characteristics: Coverage, speed bias and congestion detection precision
V Ahsani, M Amin-Naseri, S Knickerbocker… - Journal of Intelligent …, 2019 - Taylor & Francis
In recent years, there has been a growing desire for the use of probe vehicle technology for
congestion detection and general infrastructure performance assessment. Unlike costly …
congestion detection and general infrastructure performance assessment. Unlike costly …
Assessing carbon emissions from road transport through traffic flow estimators
S Nocera, C Ruiz-Alarcón-Quintero… - … Research Part C …, 2018 - Elsevier
Carbon emissions from road transport are one of the main issues related to modern
transport planning. To address them adequately, the acquisition of reliable data about traffic …
transport planning. To address them adequately, the acquisition of reliable data about traffic …
Short-to-medium term passenger flow forecasting for metro stations using a hybrid model
Metro passenger flow forecasting is an essential component of intelligent transportation
system. To enhance the forecasting accuracy and explainable of traditional models, a hybrid …
system. To enhance the forecasting accuracy and explainable of traditional models, a hybrid …
Real time bus travel time prediction using k-NN classifier
BA Kumar, R Jairam, SS Arkatkar… - Transportation …, 2019 - Taylor & Francis
Predicting bus arrival times and travel times are crucial elements to make the public
transport more attractive and reliable. The present study explores the use of Intelligent …
transport more attractive and reliable. The present study explores the use of Intelligent …
Dynamic traffic prediction for urban road network with the interpretable model
D Xia, L Zheng, Y Tang, X Cai, L Chen… - Physica A: Statistical …, 2022 - Elsevier
Dynamic traffic prediction is an important section of the urban intelligent transportation
system. Although there have been many studies in this area, it is still a challenge for the …
system. Although there have been many studies in this area, it is still a challenge for the …
TSR-GAN: Generative adversarial networks for traffic state reconstruction with time space diagrams
Abstract A Time Space Diagram (TSD) plays an important role in transportation research
and practice due to its capability to exhibit traffic dynamics in time and space. Based on …
and practice due to its capability to exhibit traffic dynamics in time and space. Based on …