Research on Traffic Organization and Design Parameter of U-turn Intersection in City

After analyzing the serious impact of left-turn vehicle on intersection, this paper offers the means of traffic organization by being use of U-turn for carrying out left-turn vehicles at intersection. Meanwhile, the paper gives the calculation models and reference values of design parameters about distance from intersection to U-turn hatch in center isolation, turn radius, and path width. The results indicate the technique of U-turn can cancel left-turn vehicles at intersection, reduce phase numbers of the traffic signals and decrease delay to enhance capacity and continuity of the arteries.

[1]  Xiaodong Li,et al.  A Non-dominated Sorting Particle Swarm Optimizer for Multiobjective Optimization , 2003, GECCO.

[2]  James Kennedy,et al.  Particle swarm optimization , 2002, Proceedings of ICNN'95 - International Conference on Neural Networks.

[3]  Hossein Nezamabadi-pour,et al.  GSA: A Gravitational Search Algorithm , 2009, Inf. Sci..

[4]  Xiaodong Li,et al.  Better Spread and Convergence: Particle Swarm Multiobjective Optimization Using the Maximin Fitness Function , 2004, GECCO.

[5]  Kalyanmoy Deb,et al.  A fast and elitist multiobjective genetic algorithm: NSGA-II , 2002, IEEE Trans. Evol. Comput..

[6]  Gary B. Lamont,et al.  Multiobjective evolutionary algorithms: classifications, analyses, and new innovations , 1999 .

[7]  J. Kennedy,et al.  Matching algorithms to problems: an experimental test of the particle swarm and some genetic algorithms on the multimodal problem generator , 1998, 1998 IEEE International Conference on Evolutionary Computation Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98TH8360).

[8]  Marco Laumanns,et al.  A unified model for multi-objective evolutionary algorithms with elitism , 2000, Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512).

[9]  David W. Corne,et al.  Approximating the Nondominated Front Using the Pareto Archived Evolution Strategy , 2000, Evolutionary Computation.

[10]  Joseph E. Hummer UNCONVENTIONAL LEFT-TURN ALTERNATIVES FOR URBAN AND SUBURBAN ARTERIALS--PART ONE , 1998 .

[11]  Chih-Chuan Chen,et al.  A Multi-objective Particle Swarm Optimization Algorithm for Rule Discovery , 2007, Third International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2007).

[12]  Peter J. Fleming,et al.  Genetic Algorithms for Multiobjective Optimization: FormulationDiscussion and Generalization , 1993, ICGA.

[13]  Carlos A. Coello Coello,et al.  Handling multiple objectives with particle swarm optimization , 2004, IEEE Transactions on Evolutionary Computation.

[14]  Evangelos I. Kaisar,et al.  MEDIAN U-TURN DESIGN AS AN ALTERNATIVE TREATMENT FOR LEFT TURNS AT SIGNALIZED INTERSECTIONS , 2002 .

[15]  Mario Köppen,et al.  Fuzzy-Pareto-Dominance and its Application in Evolutionary Multi-objective Optimization , 2005, EMO.

[16]  Xiaodong Li,et al.  Choosing Leaders for Multi-objective PSO Algorithms Using Differential Evolution , 2008, SEAL.

[17]  Carlos A. Coello Coello,et al.  A particle swarm optimizer for multi-objective optimization , 2005 .

[18]  Kalyanmoy Deb,et al.  Multi-objective optimization using evolutionary algorithms , 2001, Wiley-Interscience series in systems and optimization.