Intelligent Agent Optimization of Urban Bus Transit System Design

Jeremy Joseph Blum · Tom V. Mathew

57 citations0/0 files storedJournal of Computing in Civil Engineering

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Transportation Planning and Optimization Vehicle Routing Optimization Methods Transportation and Mobility Innovations

Abstract

The transit route network design (TRND) problem seeks a set of bus routes and schedules that is optimal in the sense that it maximizes the utility of an urban bus system for passengers while minimizing operator cost. Because of the computational intractability of the problem, finding an optimal solution for most systems is not possible. Instead, a wide variety of heuristic and meta-heuristic approaches have been applied to the problem to attempt to find near-optimal solutions. This paper presents an optimization system that synthesizes aspects of previous approaches into a scalable, flexible, intelligent agent architecture. This architecture has successfully been applied to other transportation and logistics problems in both research studies and commercial applications. This study shows that this intelligent agent system outperforms previous solutions for both a benchmark Swiss bus network system and the very large bus system in Delhi, India. Moreover, the system produces in a single run a set of Pareto equivalent solutions that allow a transit operator to evaluate the trade-offs between operator costs and passenger costs.

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References

1986Bus network design 1998Urban Bus Transit Route Network Design Using Genetic Algorithm 1980Evaluation and optimization of urban public transportation networks 2005Optimal Transit Route Network Design Problem with Variable Transit Demand: Genetic Algorithm Approach 1995Hybrid route generation heuristic algorithm for the design of transit networks 1979Some Issues Relating to the Optimal Design of Bus Routes 2006Using a Simulated Annealing Algorithm to Solve the Transit Route Network Design Problem 2002Genetic algorithms in bus network optimization

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