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Urban road travel time prediction based on gated recurrent unit using internet data
IET Intelligent Transport Systems, 2023 Traffic congestion has been aggravated in many cities, which not only negatively affects the traffic efficiency, but also exacerbates the related social problems.
Rui Li +6 more
doaj +1 more source
Travel time prediction using machine learning [PDF]
Proceedings of the 4th ACM SIGSPATIAL International Workshop on Computational Transportation Science, 2011 This paper investigates the application of a Machine Learning technique to predict the time that will be spent by a vehicle between any two points in an approximated area. The prediction is based on a learning process based on historical data about the movements performed by the vehicles taking into account a set of semantic variables to get estimated ...
Leone Pereira Masiero +2 more
openaire +1 more source
Short-term Demand Forecasting for Online Car-hailing Services using Recurrent Neural Networks
, 2019 Short-term traffic flow prediction is one of the crucial issues in intelligent transportation system, which is an important part of smart cities. Accurate predictions can enable both the drivers and the passengers to make better decisions about their ...
Bahrak, Behnam +2 more
core +1 more source
Travel Time Prediction for Congested Freeways With a Dynamic Linear Model [PDF]
IEEE transactions on intelligent transportation systems (Print), 2020 Accurate prediction of travel time is an essential feature to support Intelligent Transportation Systems (ITS). The non-linearity of traffic states, however, makes this prediction a challenging task. Here we propose to use dynamic linear models (DLMs) to
Semin Kwak, N. Geroliminis
semanticscholar +1 more source
Entropy, 2021 Smart transportation is an important part of smart urban areas, and travel characteristics analysis and traffic prediction modeling are the two key technical measures of building smart transportation systems.
Shenghan Zhou +6 more
doaj +1 more source
Predicting Travel Time Variability for Cost-Benefit Analysis [PDF]
SSRN Electronic Journal, 2010 Unreliable travel times cause substantial costs to travelers. Nevertheless, they are not taken into account in many cost-benefit-analyses (CBA), or only in very rough ways. This paper aims at providing simple rules on how variability can be predicted, based on travel time data from Dutch highways.
Peer, S., Koopmans, C., Verhoef, E.T.
openaire +4 more sources
Predicting vehicular travel times by modeling heterogeneous influences between arterial roads
, 2017 Predicting travel times of vehicles in urban settings is a useful and tangible quantity of interest in the context of intelligent transportation systems.
Achar, Avinash +3 more
core +1 more source
Door-to-door travel times in RP departure time choice models: An approximation method based on GPS data [PDF]
, 2011 A common way to determine values of travel time and schedule delay is by estimating departure time choice models using revealed preference (RP) data. The estimation of such models requires that (expected) travel times are known for both chosen as well as
Knockaert, J.S.A. +4 more
core +3 more sources
Psychosocial Outcomes in Patients With Endocrine Tumor Syndromes: A Systematic Review
Pediatric Blood &Cancer, EarlyView.ABSTRACT Introduction The combination of disease manifestations, the familial burden, and varying penetrance of endocrine tumor syndromes (ETSs) is unique. This review aimed to portray and summarize available data on psychosocial outcomes in patients with ETSs and explore gaps and opportunities for future research and care.
Daniël Zwerus +6 more
wiley +1 more source
Estimating Uncertainty of Bus Arrival Times and Passenger Occupancies [PDF]
, 2016 Travel time reliability and the availability of seating and boarding space are important indicators of bus service quality and strongly influence users’ satisfaction and attitudes towards bus transit systems.
Gayah, Vikash V. +2 more
core +1 more source