A survey on urban traffic control under mixed traffic environment with connected automated vehicles
Efficient traffic control can alleviate traffic congestion, reduce fuel consumption, and improve
traffic safety. With the development of communication and automation technologies, regular …
traffic safety. With the development of communication and automation technologies, regular …
The traffic signal control problem for intersections: a review
Background The intersection traffic signal control problem (ITSCP) has become even more
important as traffic congestion has been more intractable. The ITSCP seeks an efficient …
important as traffic congestion has been more intractable. The ITSCP seeks an efficient …
Traffic graph convolutional recurrent neural network: A deep learning framework for network-scale traffic learning and forecasting
Traffic forecasting is a particularly challenging application of spatiotemporal forecasting, due
to the time-varying traffic patterns and the complicated spatial dependencies on road …
to the time-varying traffic patterns and the complicated spatial dependencies on road …
On the new era of urban traffic monitoring with massive drone data: The pNEUMA large-scale field experiment
E Barmpounakis, N Geroliminis - Transportation research part C: emerging …, 2020 - Elsevier
The new era of sharing information and “big data” has raised our expectations to make
mobility more predictable and controllable through a better utilization of data and existing …
mobility more predictable and controllable through a better utilization of data and existing …
Online incremental machine learning platform for big data-driven smart traffic management
D Nallaperuma, R Nawaratne… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
The technological landscape of intelligent transport systems (ITS) has been radically
transformed by the emergence of the big data streams generated by the Internet of Things …
transformed by the emergence of the big data streams generated by the Internet of Things …
Resilience and efficiency in transportation networks
Urban transportation systems are vulnerable to congestion, accidents, weather, special
events, and other costly delays. Whereas typical policy responses prioritize reduction of …
events, and other costly delays. Whereas typical policy responses prioritize reduction of …
Traffic state estimation on highway: A comprehensive survey
Traffic state estimation (TSE) refers to the process of the inference of traffic state variables
(ie, flow, density, speed and other equivalent variables) on road segments using partially …
(ie, flow, density, speed and other equivalent variables) on road segments using partially …
An integrated resilience assessment model of urban transportation network: A case study of 40 cities in China
The transportation network is essential in providing daily accessibility and essential service
to societies. An acceptable level of service needs to be maintained in critical infrastructures …
to societies. An acceptable level of service needs to be maintained in critical infrastructures …
Models, solutions and enabling technologies in humanitarian logistics
We present a survey that focuses on the response and recovery planning phases of the
disaster lifecycle. Related mathematical models developed in this area of research are …
disaster lifecycle. Related mathematical models developed in this area of research are …
[图书][B] Введение в математическое моделирование транспортных потоков
А Гасников - 2022 - books.google.com
В книге излагается математический аппарат и некоторые физические концепции,
которые могут пригодиться при создании (модернизации) интеллектуальной …
которые могут пригодиться при создании (модернизации) интеллектуальной …