Traffic congestion prediction by spatiotemporal propagation patterns

X Di, Y Xiao, C Zhu, Y Deng, Q Zhao… - 2019 20th IEEE …, 2019 - ieeexplore.ieee.org
Accurate prediction of traffic congestion at the granularity of road segment is important for
planning travel routes and optimizing traffic control in urban areas. Previous works often …

Spatio-temporal adaptive pricing for balancing mobility-on-demand networks

S He, KG Shin - ACM Transactions on Intelligent Systems and …, 2019 - dl.acm.org
Pricing in mobility-on-demand (MOD) networks, such as Uber, Lyft, and connected taxicabs,
is done adaptively by leveraging the price responsiveness of drivers (supplies) and …

Data4urbanmobility: Towards holistic data analytics for mobility applications in urban regions

N Tempelmeier, Y Rietz, I Lishchuk, T Kruegel… - … Proceedings of The …, 2019 - dl.acm.org
With the increasing availability of mobility-related data, such as GPS-traces, Web queries
and climate conditions, there is a growing demand to utilize this data to better understand …

Data-driven detection of anomalies and cascading failures in traffic networks

S Basak, A Ayman, A Laszka, A Dubey… - Annual Conference of the …, 2019 - par.nsf.gov
Traffic networks are one of the most critical infrastructures for any community. The increasing
integration of smart and connected sensors in traffic networks provides researchers with …

Vehicle demand evolution analysis from the complex network perspective

ZY Jiang, Q Wang, ZQ Liu, JF Ma - Physica A: Statistical Mechanics and its …, 2019 - Elsevier
Nowadays, with the increasing population of a city, the vehicle demand especially in rush
hours of weekdays increases remarkably. To dispatch taxicabs efficiently, taxicab …

Discovering hotspots in dynamic spatial networks using mobility data

J Jia, S Tan, G Ji, B Zhao - … on Advanced Cloud and Big Data …, 2019 - ieeexplore.ieee.org
A hotsport is a reflection of dense areas of human activities in a city. Hotspots can be widely
used in public applications, such as transport management, disease prevention and control …

[PDF][PDF] Visual Analysis of Multivariate Urban Traffic Data Resorting to Local Principal Curves.

C Silva, PM d'Orey, A Aguiar - MLVis@ EuroVis, 2019 - diglib.eg.org
Traffic congestion causes major economic, environmental and social problems in modern
cities. We present an interactive visualization tool to assist domain experts on the …

[PDF][PDF] Nicolas Tempelmeier, Stefan Dietze &

E Demidova - stefandietze.wordpress.com
Large-scale planned special events in cities including concerts, football games and fairs can
significantly impact urban mobility. The lack of reliable models for understanding and …

Prognostic based real-time decision making approach for the dynamic and stochastic shortest path problem for electric vehicles

HF Rozas Ovando - 2019 - repositorio.uchile.cl
La congestión en el tráfico vehicular es cada día más común en las grandes ciudades, lo
que conduce a un significativo incremento en los tiempos de viaje. Los sistemas de ruteo …