A survey on autonomous vehicle control in the era of mixed-autonomy: From physics-based to AI-guided driving policy learning
This paper serves as an introduction and overview of the potentially useful models and
methodologies from artificial intelligence (AI) into the field of transportation engineering for …
methodologies from artificial intelligence (AI) into the field of transportation engineering for …
Mobility trace analysis for intelligent vehicular networks: Methods, models, and applications
Intelligent vehicular networks emerge as a promising technology to provide efficient data
communication in transportation systems and smart cities. At the same time, the …
communication in transportation systems and smart cities. At the same time, the …
The impact of AI on the advertising process: The Chinese experience
X Qin, Z Jiang - Journal of Advertising, 2019 - Taylor & Francis
Knowing that the demand for advertising in a growing e-commerce market cannot be
sufficiently addressed in a traditional advertising operation model, advertisers and e …
sufficiently addressed in a traditional advertising operation model, advertisers and e …
Characterizing car-following behaviors of human drivers when following automated vehicles using the real-world dataset
As the market penetration rate of automated vehicles (AVs) increases, there will be a
transition period when the traffic stream is composed of both AVs and human-driven …
transition period when the traffic stream is composed of both AVs and human-driven …
[HTML][HTML] Understanding travel behavior adjustment under COVID-19
The outbreak and spreading of the COVID-19 pandemic have had a significant impact on
transportation system. By analyzing the impact of the pandemic on the transportation system …
transportation system. By analyzing the impact of the pandemic on the transportation system …
How instantaneous driving behavior contributes to crashes at intersections: Extracting useful information from connected vehicle message data
Connected and automated vehicles have enabled researchers to use big data for
development of new metrics that can enhance transportation safety. Emergence of such a …
development of new metrics that can enhance transportation safety. Emergence of such a …
Optimal passenger-seeking policies on E-hailing platforms using Markov decision process and imitation learning
Vacant taxi drivers' passenger seeking process in a road network generates additional
vehicle miles traveled, adding congestion and pollution into the road network and the …
vehicle miles traveled, adding congestion and pollution into the road network and the …
A mobile telematics pattern recognition framework for driving behavior extraction
Mobile telematics is a relatively new innovation that involves collecting data on driving
behavior using the internal sensors in a smartphone rather than from an in-vehicle data …
behavior using the internal sensors in a smartphone rather than from an in-vehicle data …
Providing effective recommendations in discussion groups using a new hybrid recommender system based on implicit ratings and semantic similarity
M Riyahi, MK Sohrabi - Electronic Commerce Research and Applications, 2020 - Elsevier
Discussion groups are one of the most important elements of collaborative learning which
utilize recommender systems to improve their performance in several aspects. This type of …
utilize recommender systems to improve their performance in several aspects. This type of …
Integrating safety and mobility for pathfinding using big data generated by connected vehicles
With the emergence of the internet of things, pathfinding problems have recently received a
significant amount of attention. Various commercial applications provide automated routing …
significant amount of attention. Various commercial applications provide automated routing …