Localized Space-Time Autoregressive Parameters Estimation for Traffic Flow Prediction in Urban Road Networks
出版年份 2018 全文链接
标题
Localized Space-Time Autoregressive Parameters Estimation for Traffic Flow Prediction in Urban Road Networks
作者
关键词
-
出版物
Applied Sciences-Basel
Volume 8, Issue 2, Pages 277
出版商
MDPI AG
发表日期
2018-02-12
DOI
10.3390/app8020277
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- An Improved Fuzzy Neural Network for Traffic Speed Prediction Considering Periodic Characteristic
- (2017) Jinjun Tang et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Dynamic route planning with real-time traffic predictions
- (2017) Thomas Liebig et al. INFORMATION SYSTEMS
- Multicast Capacity for VANETs With Directional Antenna and Delay Constraint Under Random Walk Mobility Model
- (2017) Jiajie Ren et al. IEEE Access
- k-Nearest Neighbor Model for Multiple-Time-Step Prediction of Short-Term Traffic Condition
- (2016) Bin Yu et al. JOURNAL OF TRANSPORTATION ENGINEERING
- Cellular automaton model simulating spatiotemporal patterns, phase transitions and concave growth pattern of oscillations in traffic flow
- (2016) Junfang Tian et al. TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
- Stream travel time prediction using particle filtering approach
- (2016) B. Dhivyabharathi et al. Transportation Letters-The International Journal of Transportation Research
- k-Nearest Neighbor Model for Multiple-Time-Step Prediction of Short-Term Traffic Condition
- (2016) Bin Yu et al. JOURNAL OF TRANSPORTATION ENGINEERING
- Vehicle Speed Estimation and Forecasting Methods Based on Cellular Floating Vehicle Data
- (2016) Wei-Kuang Lai et al. Applied Sciences-Basel
- Data Delivery Delay Reduction for VANETs on Bi-Directional Roadway
- (2016) Chang Guo et al. IEEE Access
- A Large-Scale SUMO-Based Emulation Platform
- (2015) Wynita M. Griggs et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Traffic Information Dissemination System: Extending Cooperative Awareness Among Smart Vehicles with only Single-Hop Beacons in VANET
- (2015) Rasheed Hussain et al. WIRELESS PERSONAL COMMUNICATIONS
- A survey of vehicular communications for traffic signal optimization
- (2015) Ryan Florin et al. Vehicular Communications
- Traffic Flow Prediction With Big Data: A Deep Learning Approach
- (2014) Yisheng Lv et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Camera calibration and vehicle tracking: Highway traffic video analytics
- (2014) Yiwen Wan et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Adaptive Kalman filter approach for stochastic short-term traffic flow rate prediction and uncertainty quantification
- (2014) Jianhua Guo et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- A Hidden Markov Model for short term prediction of traffic conditions on freeways
- (2014) Yan Qi et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Context-Aware and Energy-Driven Route Optimization for Fully Electric Vehicles via Crowdsourcing
- (2013) Yan Wang et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- UTN-Model-Based Traffic Flow Prediction for Parallel-Transportation Management Systems
- (2013) Qing-Jie Kong et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Multicast Capacity for VANETs with Directional Antenna and Delay Constraint
- (2012) Guanglin Zhang et al. IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
- Integrated Traffic and Communication Performance Evaluation of an Intelligent Vehicle Infrastructure Integration (VII) System for Online Travel-Time Prediction
- (2012) Yongchang Ma et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- OpenStreetMap: User-Generated Street Maps
- (2008) M. Haklay et al. IEEE PERVASIVE COMPUTING
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now