GPS-based citywide traffic congestion forecasting using CNN-RNN and C3D hybrid model

Connected infrastructure location design under additive service utilities

(2019) Xiaopeng Li et al.   TRANSPORTATION RESEARCH PART B-METHODOLOGICAL

Jointly dampening traffic oscillations and improving energy consumption with electric, connected and automated vehicles: A reinforcement learning based approach

(2019) Xiaobo Qu et al.   APPLIED ENERGY

Development of an Efficient Driving Strategy for Connected and Automated Vehicles at Signalized Intersections: A Reinforcement Learning Approach

(2019) Mofan Zhou et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Predicting citywide crowd flows using deep spatio-temporal residual networks

(2018) Junbo Zhang et al.   ARTIFICIAL INTELLIGENCE

A hybrid deep learning based traffic flow prediction method and its understanding

(2018) Yuankai Wu et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Driving Behaviour Style Study with a Hybrid Deep Learning Framework Based on GPS Data

(2018) Jingqiu Guo et al.   Sustainability

Traffic State Spatial-Temporal Characteristic Analysis and Short-Term Forecasting Based on Manifold Similarity

(2018) Qingchao Liu et al.   IEEE Access

Improved Deep Hybrid Networks for Urban Traffic Flow Prediction Using Trajectory Data

(2018) Zongtao Duan et al.   IEEE Access

Detection of traffic congestion and incidents from GPS trace analysis

(2017) Eleonora D'Andrea et al.   EXPERT SYSTEMS WITH APPLICATIONS

Spatiotemporal Recurrent Convolutional Networks for Traffic Prediction in Transportation Networks

(2017) Haiyang Yu et al.   SENSORS

A statistical method for estimating predictable differences between daily traffic flow profiles

(2017) F. Crawford et al.   TRANSPORTATION RESEARCH PART B-METHODOLOGICAL

How can the taxi industry survive the tide of ridesourcing? Evidence from Shenzhen, China

(2017) Yu (Marco) Nie   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Exploring traffic congestion correlation from multiple data sources

(2017) Yuqi Wang et al.   Pervasive and Mobile Computing

Grid Mapping for Spatial Pattern Analyses of Recurrent Urban Traffic Congestion Based on Taxi GPS Sensing Data

(2017) Yang Liu et al.   Sustainability

Citywide Estimation of Traffic Dynamics via Sparse GPS Traces

(2017) Weizi Li et al.   IEEE Intelligent Transportation Systems Magazine

Urban traffic congestion estimation and prediction based on floating car trajectory data

(2016) Xiangjie Kong et al.   Future Generation Computer Systems-The International Journal of eScience

Traffic state estimation through compressed sensing and Markov random field

(2016) Zuduo Zheng et al.   TRANSPORTATION RESEARCH PART B-METHODOLOGICAL

Deep Architecture for Traffic Flow Prediction: Deep Belief Networks With Multitask Learning

(2014) Wenhao Huang et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Spatiotemporal Patterns in Large-Scale Traffic Speed Prediction

(2014) Muhammad Tayyab Asif et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Short-term traffic forecasting: Where we are and where we’re going

(2014) Eleni I. Vlahogianni et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Urban Computing

(2014) Yu Zheng et al.   ACM Transactions on Intelligent Systems and Technology

A review of travel time estimation and forecasting for Advanced Traveller Information Systems

(2014) Usue Mori et al.   Transportmetrica A-Transport Science

Experienced travel time prediction for congested freeways

(2013) Mehmet Yildirimoglu et al.   TRANSPORTATION RESEARCH PART B-METHODOLOGICAL

3D Convolutional Neural Networks for Human Action Recognition

(2012) Shuiwang Ji et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Congestion analysis of traffic networks with direction-dependant heterogeneity

(2012) Jian Wang et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS