4.2 Article

Traffic congestion prediction based on GPS trajectory data

Related references

Note: Only part of the references are listed.
Article Computer Science, Artificial Intelligence

Traffic flow prediction using LSTM with feature enhancement

Bailin Yang et al.

NEUROCOMPUTING (2019)

Article Computer Science, Information Systems

Map matching for low-sampling-rate GPS trajectories by exploring real-time moving directions

Yu-Ling Hsueh et al.

INFORMATION SCIENCES (2018)

Article Computer Science, Artificial Intelligence

Implementation of generic algorithm in map-matching model

Marko Nikolic et al.

EXPERT SYSTEMS WITH APPLICATIONS (2017)

Article Automation & Control Systems

Research on Traffic Flow Prediction in the Big Data Environment Based on the Improved RBF Neural Network

Dawei Chen

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2017)

Article Engineering, Civil

Online Map-Matching of Noisy and Sparse Location Data With Hidden Markov and Route Choice Models

George R. Jagadeesh et al.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2017)

Article Engineering, Civil

Accurate Real-time Map Matching for Challenging Environments

Reham Mohamed et al.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2017)

Article Engineering, Civil

A ST-CRF Map-Matching Method for Low-Frequency Floating Car Data

Xiliang Liu et al.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2017)

Article Computer Science, Artificial Intelligence

IF-Matching: Towards Accurate Map-Matching with Information Fusion

Gang Hu et al.

IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2017)

Article Economics

Modeling heterogeneous traffic flow: A pragmatic approach

Zhen (Sean) Qian et al.

TRANSPORTATION RESEARCH PART B-METHODOLOGICAL (2017)

Proceedings Paper Computer Science, Theory & Methods

Singular Point Probability Improve LSTM Network Performance for Long-term Traffic Flow Prediction

Boyi Liu et al.

THEORETICAL COMPUTER SCIENCE, NCTCS 2017 (2017)

Article Engineering, Mechanical

A macro-model for traffic flow with consideration of driver's reaction time and distance

Nooshin Davoodi et al.

NONLINEAR DYNAMICS (2016)

Article Engineering, Civil

Efficient Traffic State Estimation for Large-Scale Urban Road Networks

Qing-Jie Kong et al.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2013)

Article Transportation Science & Technology

Path inference from sparse floating car data for urban networks

Mahmood Rahmani et al.

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2013)

Article Engineering, Multidisciplinary

Short-term traffic safety forecasting using Gaussian mixture model and Kalman filter

Sheng Jin et al.

JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE A (2013)

Article Engineering, Civil

A Bayesian network approach to traffic flow forecasting

SL Sun et al.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2006)