An adaptive route guidance model considering the effect of traffic signals based on deep reinforcement learning

Y Shi, Z Gu, X Yang, Y Li, Z Chu - IEEE Intelligent …, 2023 - ieeexplore.ieee.org
Navigation or route guidance systems are designed to provide drivers with real-time travel
information and the associated recommended routes for their trips. Classical route choice …

Digital twin-assisted real-time traffic data prediction method for 5G-enabled internet of vehicles

C Hu, W Fan, E Zeng, Z Hang, F Wang… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
The development of Internet of Vehicles (IoV) has produced a considerable amount of real-
time traffic data. These traffic data constitute a kind of digital twin that connects the physical …

[PDF][PDF] Road traffic congestion management based on a search-allocation approach

J Raiyn - Transport and Telecommunication Journal, 2017 - sciendo.com
This paper introduces a new scheme for road traffic management in smart cities, aimed at
reducing road traffic congestion. The scheme is based on a combination of searching …

Dynamic road management in the era of cav

M Younis, S Lee, W Lalouani, D Tan… - … Autonomous Vehicles in …, 2020 - taylorfrancis.com
Vehicular traffic congestion has become a daily problem that most people suffer from,
especially in urban areas. Moreover, the remarkable research results coming from the fields …

Providing personalized system optimum traveler information in a congested traffic network with mixed users

J Ma, F Zhou, C Lee - Journal of Intelligent Transportation Systems, 2016 - Taylor & Francis
The advancement of information and communication technology allows the use of more
sophisticated information provision strategies for real-time traffic management in a …

Vehicle Dispatch and Route Optimization Algorithm for Demand-Responsive Transit

D Guan, X Wu, K Wang, J Zhao - Processes, 2022 - mdpi.com
Giving priority to the development of public transit is an important way to achieve efficient,
convenient, safe, comfortable, economic, reliable, green and low-carbon sustainable …

Hybrid differential evolution optimization for the vehicle routing problem with time windows and driver-specific times

E Pu, F Wang, Z Yang, J Wang, Z Li… - Wireless Personal …, 2017 - Springer
This paper proposes a hybrid differential evolution (HDE) optimization for the vehicle routing
problem with time windows and driver specific times (VRPTWDST), a typical problem of the …

Optimal route planning algorithm based on real traffic network

NS Kang, BS Kim, HJ Kim - SAE transactions, 2005 - JSTOR
In order to perform the Optimal Route Planning avoiding traffic congestion, the structural
elements (Rode type, Link type, Facilities type, Lane number, Turning type) in digital map …

Connected vehicles' dynamic route planning based on reinforcement learning

K Ma, S Liao, Y Niu - Future Generation Computer Systems, 2024 - Elsevier
Real-time route planning is a challenging work for the Internet of Vehicles (IoV) systems.
Some people have used swarm intelligence algorithms to schedule routes for connected …

A novel vector-based dynamic path planning method in urban road network

Z Cai, X Cui, X Su, Q Mi, L Guo, Z Ding - IEEE Access, 2019 - ieeexplore.ieee.org
The optimal path planning is one of the hot spots in the research of intelligence
transportation and geographic information systems. There are many productions and …