NDLI: Forced-node route guidance system: incorporating both user equilibrium and system optimal benefits

Content Provider	IET Digital Library
Author	Farahani, Hossein Rahimi Rassafi, Amir Abbas Mirbaha, Babak
Abstract	Route guidance systems (RGSs), due to recent advances in technology, are emerging as a low-cost and fast solution to the congestion problem in urban areas. Route guidance with the aim of minimising total travel time (system optimum) causes longer paths, and consequently, more unfairness between individual users. Moreover, more congestion is created when guiding the users to their shortest paths (user equilibrium) to provide fairness among them. Therefore, an RGS that is able to combine these two inconsistent objectives, i.e. minimising total congestion of the network, and travel unfairness between individual travellers, would be of great value. To this end, a forced-node RGS is proposed in this study. The guidance task is delegated to some of the network nodes (e.g. intersections and roundabouts) in a distributed and autonomous way, similar to the routing operation in computer networks. Then, by applying a novel idea in transforming the demand rates, a non-recursive algorithm is proposed and compared with well-known traffic assignment methods; i.e. the classic user equilibrium and system optimal traffic assignment methods. Computational results affirmed the applicability of the forced-node RGS through the incorporation of both system and users’ benefits in different proportions.
Starting Page	1851
Ending Page	1859
Page Count	9
ISSN	1751956X
Volume Number	13
e-ISSN	17519578
Issue Number	Issue 12, Dec (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-its/13/12
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-its.2018.5457
Journal	IET Intelligent Transport Systems
Publisher Date	2019-10-04
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Classic User Equilibrium Combinatorial Mathematics Communication Network Design, Planning And Routing Computer Network Congestion Problem Forced-node RGS Guidance Task Individual Travellers Longer Paths Network Node Node Route Guidance System Optimisation Optimisation Technique Road Traffic Route Guidance System Routing Operation Shortest Paths System Optimum System Theory Application in Transportation Telecommunication Network Routing Total Congestion Total Travel Time Traffic Engineering Computing Travel Unfairness Urban Areas
Content Type	Text
Resource Type	Article
Subject	Law Transportation Environmental Science Mechanical Engineering

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