Trafficgpt: Viewing, processing and interacting with traffic foundation models
With the promotion of ChatGPT to the public, Large language models indeed showcase
remarkable common sense, reasoning, and planning skills, frequently providing insightful …
remarkable common sense, reasoning, and planning skills, frequently providing insightful …
Open-ti: Open traffic intelligence with augmented language model
Transportation has greatly benefited the cities' development in the modern civilization
process. Intelligent transportation, leveraging advanced computer algorithms, could further …
process. Intelligent transportation, leveraging advanced computer algorithms, could further …
A unified dataset for the city-scale traffic assignment model in 20 US cities
City-scale traffic data, such as traffic flow, speed, and density on every road segment, are the
foundation of modern urban research. However, accessing such data on a city scale is …
foundation of modern urban research. However, accessing such data on a city scale is …
Multicriteria Planning Framework for Regional Intersection Improvement Using Telematics Data of Connected Vehicles
S Khadka, P “Taylor” Li - Journal of Urban Planning and …, 2024 - ascelibrary.org
This paper presents a novel approach to intersection improvement planning utilizing
telematics data from connected vehicles to generate performance measures for mobility …
telematics data from connected vehicles to generate performance measures for mobility …
SEVD: Synthetic Event-based Vision Dataset for Ego and Fixed Traffic Perception
MR Aliminati, B Chakravarthi, AA Verma… - arXiv preprint arXiv …, 2024 - arxiv.org
Recently, event-based vision sensors have gained attention for autonomous driving
applications, as conventional RGB cameras face limitations in handling challenging …
applications, as conventional RGB cameras face limitations in handling challenging …
Computational graph-based mathematical programming reformulation for integrated demand and supply models
As transportation systems grow in complexity, analysts need sophisticated tools to
understand travelers' decision-making and effectively quantify the benefits of the proposed …
understand travelers' decision-making and effectively quantify the benefits of the proposed …
Oversaturated Intersections: A Real-World Assessment of Polynomial Fluid Queue Models
This paper investigates the challenges of quantifying stochasticity and dynamics in traffic
states, crucial to efficient transportation systems, particularly during oversaturated conditions …
states, crucial to efficient transportation systems, particularly during oversaturated conditions …
A methodology of cooperative driving based on microscopic traffic prediction
We present a methodology of cooperative driving in vehicular traffic, in which for short-time
traffic prediction rather than one of the statistical approaches of artificial intelligence (AI), we …
traffic prediction rather than one of the statistical approaches of artificial intelligence (AI), we …
Graph Neural Networks Model to Generate Transportation Test Networks
Transportation researchers often rely on test networks to evaluate the performance of traffic
assignment algorithms, analyze resilience and criticality, study emission productions …
assignment algorithms, analyze resilience and criticality, study emission productions …
Calibration and validation of a hybrid traffic flow model based on vehicle trajectory data from a field car-following experiment
The paper focuses on the calibration of the hybrid multi-scale modelling approach that
incorporates multiple levels of traffic flow representation. This paper refers to a model …
incorporates multiple levels of traffic flow representation. This paper refers to a model …