An extensive review of shortest path problem solving algorithms

S Kumawat, C Dudeja, P Kumar - 2021 5th International …, 2021 - ieeexplore.ieee.org
Shortest Path Algorithms (SPAs) are established for solving shortest path problem (SPP)
mainly classified into various types. Advanced concepts are derived for solving the problem …

Intersection management for connected autonomous vehicles: A game theoretic framework

H Wei, L Mashayekhy… - 2018 21st International …, 2018 - ieeexplore.ieee.org
This paper addresses the problem of optimally coordinating connected vehicles crossing an
intersection without any explicit traffic signals. We propose a game-in-game framework that …

Routing vehicles on highways by augmenting traffic flow network: A review on speed up techniques

J Ganapathy, FP García Márquez… - … Emerging Methods of …, 2021 - Springer
Urban transport system is a time varying network. Traffic information in preceding time
instances contributes in analyzing traffic in succeeding instances and spatial information of …

Vehicle routing with space-and time-correlated stochastic travel times: Evaluating the objective function

Z Guo, SW Wallace, M Kaut - INFORMS Journal on …, 2019 - pubsonline.informs.org
We study how to model and handle correlated travel times in two-stage stochastic vehicle-
routing problems. We allow these travel times to be correlated in time and space; that is, the …

Multi-criteria decision-making for sustainable transport: A case study on traffic flow prediction using spatial–temporal traffic sequence

J Ganapathy - Sustainability: Cases and Studies in Using Operations …, 2023 - Springer
Traffic flow on highways exhibits a dynamic phenomenon in different operational settings.
The concept of sustainability in transportation engineering is elucidated using multi-criteria …

Travel time based traffic rerouting by augmenting traffic flow network with temporal and spatial relations for congestion management

J Ganapathy, FP García Márquez - Proceedings of the Fifteenth …, 2021 - Springer
Urban transport system is a time varying network. Traffic information in preceding time
instances contributes in analyzing traffic in succeeding instances and spatial information of …

Auto-Encoder LSTM for learning dependency of traffic flow by sequencing spatial-temporal traffic flow rate: A speed up technique for routing vehicles between origin …

J Ganapathy, T Sureshkumar… - … on Innovative Trends …, 2022 - ieeexplore.ieee.org
Urban transport system is a time varying network. The variation in travel time and delay in
travel faced by commuters is the adverse effect of traffic congestion. Traffic information in …

Оптимальная маршрутизация по ориентирам в нестационарных сетях

ВВ Быкова, АА Солдатенко - Прикладная дискретная …, 2017 - cyberleninka.ru
Рассмотрена задача Time-Dependent Shortest-Path (TDSP), которая является
расширением задачи о кратчайшем пути в графе. Сеть представляется …

Prediction of Traffic Flow by Sequencing Spatial–Temporal Traffic Dependency on Highways

J Ganapathy, J Paramasivam - IETE Journal of Research, 2023 - Taylor & Francis
Traffic flow on highways is a dynamic process in which characteristics of road segments vary
in time and space. Traffic congestion is the adverse effect caused dby an increase in travel …

Solving vehicle routing problem: A big data analytic approach

S Zheng - IEEE Access, 2019 - ieeexplore.ieee.org
In the transport industry, the cost effectiveness relies heavily on the rational design of the
transport routes. However, the traditional theories and methods on vehicle routing problem …