A survey of traffic prediction: from spatio-temporal data to intelligent transportation
H Yuan, G Li - Data Science and Engineering, 2021 - Springer
Intelligent transportation (eg, intelligent traffic light) makes our travel more convenient and
efficient. With the development of mobile Internet and position technologies, it is reasonable …
efficient. With the development of mobile Internet and position technologies, it is reasonable …
Multi-task representation learning for travel time estimation
One crucial task in intelligent transportation systems is estimating the duration of a potential
trip given the origin location, destination location as well as the departure time. Most existing …
trip given the origin location, destination location as well as the departure time. Most existing …
Travel time estimation of a path using sparse trajectories
In this paper, we propose a citywide and real-time model for estimating the travel time of any
path (represented as a sequence of connected road segments) in real time in a city, based …
path (represented as a sequence of connected road segments) in real time in a city, based …
An s-shaped three-parameter (S3) traffic stream model with consistent car following relationship
In this study, a new s-shaped three-parameter (S3) traffic flow model is proposed to
represent the relationships between three fundamental variables (ie, flow, speed, and …
represent the relationships between three fundamental variables (ie, flow, speed, and …
Evaluation of traffic data obtained via GPS-enabled mobile phones: The Mobile Century field experiment
The growing need of the driving public for accurate traffic information has spurred the
deployment of large scale dedicated monitoring infrastructure systems, which mainly consist …
deployment of large scale dedicated monitoring infrastructure systems, which mainly consist …
Review of road traffic control strategies
M Papageorgiou, C Diakaki… - Proceedings of the …, 2003 - ieeexplore.ieee.org
Traffic congestion in urban road and freeway networks leads to a strong degradation of the
network infrastructure and accordingly reduced throughput, which can be countered via …
network infrastructure and accordingly reduced throughput, which can be countered via …
Freeway performance measurement system: mining loop detector data
C Chen, K Petty, A Skabardonis… - Transportation …, 2001 - journals.sagepub.com
Performance Measurement System (PeMS) is a freeway performance measurement system
for all of California. It processes 2 GB/day of 30-s loop detector data in real time to produce …
for all of California. It processes 2 GB/day of 30-s loop detector data in real time to produce …
Real-time freeway traffic state estimation based on extended Kalman filter: a general approach
Y Wang, M Papageorgiou - Transportation Research Part B …, 2005 - Elsevier
A general approach to the real-time estimation of the complete traffic state in freeway
stretches is developed based on the extended Kalman filter. First, a general stochastic …
stretches is developed based on the extended Kalman filter. First, a general stochastic …
A simple baseline for travel time estimation using large-scale trip data
The increased availability of large-scale trajectory data provides rich information for the
study of urban dynamics. For example, New York City Taxi 8 Limousine Commission …
study of urban dynamics. For example, New York City Taxi 8 Limousine Commission …
Deeptravel: a neural network based travel time estimation model with auxiliary supervision
Estimating the travel time of a path is of great importance to smart urban mobility. Existing
approaches are either based on estimating the time cost of each road segment which are …
approaches are either based on estimating the time cost of each road segment which are …