A Heuristic Algorithm to Study the Influence of Road Preference on Network Capacity

Wei Dong Yang; Dong Tao Fan; Hua Bai

doi:10.4028/www.scientific.net/AMR.694-697.3361

Paper Titles

Design of Railway Information Platform Based on the Internet of Things
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Research on Railway Information Technology System Based on IOT
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Railway Information Integration and Sharing Mode Researching Based on Internet of Things
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Application of Internet of Things in Rail Cars Management
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A Heuristic Algorithm to Study the Influence of Road Preference on Network Capacity
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Probability Model of Upstream Passenger who Select Escalator in High-Speed Rail Hub
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A Novel Particle Swarm Neural Network Model to Optimize Aircraft Fuel Consumption
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Study on Modeling and Simulation of Vehicle Safety Distance in Low Speed for Rear-end Collision Avoidance
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Study on Business Model of Motorway Service Area Based on TOPSIS-Entropy Method
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 694-697A Heuristic Algorithm to Study the Influence of...

A Heuristic Algorithm to Study the Influence of Road Preference on Network Capacity

Abstract:

In this study, an algorithm was proposed to study the influence of road preference on the network capacity in urban transportation system. Of particular interest is to model the discrete choice model with respect to the road preference and the travel time. New formulations are presented in terms of the multi-objective road preference modeling and the travel time modeling for multi vehicle types. Compared with existing techniques, an improved heuristic method is put forward to explore the network capacity.

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Periodical:

Advanced Materials Research (Volumes 694-697)

Pages:

3361-3365

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.694-697.3361

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Online since:

May 2013

Authors:

Wei Dong Yang, Dong Tao Fan, Hua Bai

Keywords:

Heuristic Algorithm , K-Shortest Path Algorithm, Network Capacity, Road Preference

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References

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