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Design and Evaluation of a Mathematical Optimization Model for Traffic Signal Plan Transition Based on Social Cost Function

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Publicado en:Journal of Advanced Transportation vol. 2017 (2017)
Autor principal: Peñabaena-Niebles, Rita
Otros Autores: Cantillo, Victor, Moura, José Luis, Ibeas, Angel
Publicado:
John Wiley & Sons, Inc.
Materias:
United States > US
Mathematical models
Cost function
Emissions
Optimization techniques
Phase transitions
Parameter modification
Traffic flow
Traffic models
Coordination
Ant colony optimization
Traffic congestion
Computer simulation
Efficiency
Vehicles
Signal processing
Traffic volume
Traffic signals
Traffic control
Design
Algorithms
Methods
Traffic planning
Design optimization
Externality
Optimization models
Traffic intersections
Energy consumption
Transportation planning
Economic
Acceso en línea:Citation/Abstract
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Resumen:Signal plan transition is the process of changing from one timing plan to another. It begins when the first intersection starts adjusting signal timing plans and ends when the last intersection completes adjusting signal timing plans. The transition between signal timing plans is required because traffic patterns change during the day. Therefore, it is necessary to modify signal timing parameters offset, phase split, and cycle length for different expectations of traffic volume. This paper presents an alternative and new mathematical model to enhance the performance of traffic signals coordination at intersections during the transition phase. This model is oriented to describe the transition regarding coordination parameters in all intersections of an arterial road for minimizing the social cost during the transition phase expressed in function of costs due to delays, fuel consumption, and air emissions. An ant colony algorithm was designed, coded, and simulated to find the optimal transition parameters using available data. The model was evaluated based on its ability to minimize social costs during the transition period. Results showed that the proposed method performs better than traditional ones.
ISSN:0197-6729
2042-3195
0018-1501
DOI:10.1155/2017/1943846
Fuente:ABI/INFORM Global