Paper Info
Title
Urban Traffic Routing Using Weighted Multi-Map Strategies.
Abstract
Urban traffic routing has to deal with individual mobility and collective wellness considering citizens, multi-modal transport, and fleet traffic with conflicting interests such as electric vehicles, local distribution, public transport, and private vehicles. Different interests, goals, and regulations, suggest the development of new multi-objective routing mechanisms which may improve traffic flow. In this work, <italic>Traffic Weighted Multi-Maps</italic> (TWM) is presented as a novel traffic routing mechanism based on the strategical generation and distribution of complementary cost maps for traffic fleets, oriented towards the application of differentiated traffic planning and control policies. TWM is built upon a centralized control architecture, where a Traffic Management Center generates and distributes customized cost maps of the road network. These maps are used individually to calculate routes. In this research, we present the TWM theoretical model and experimental results based on microscopic simulations over a real city traffic network under multiple scenarios, including traffic incidents management. Experimental evaluation takes into account drivers adherence to the system and considers a multi-objective analysis both for the global network parameters (congestion, travel time, and route length) and for the subjective driving experience. Experimental results deliver performance improvements from 20 to 50. TWM is fully compatible with existing traffic routing systems and has promising future evolution applying new algorithms, policies and network profiles.
Year
DOI
Venue
2019
10.1109/ACCESS.2019.2947699
IEEE ACCESS
Keywords
DocType
Volume
Routing,Planning,Microscopy,Urban areas,Proposals,Vehicle dynamics,Cost function,Dynamic traffic assignment,traffic control,traffic simulation,vehicle routing,traffic big data,decision making,multi-agent systems,multi-map routing,TWM
Journal
7
ISSN
Citations 
PageRank 
2169-3536
0
0.34
References 
Authors
0
2
Name
Order
Citations
PageRank
Alvaro Paricio100.34
Miguel A. Lopez-Carmona217519.82