Discrete Dynamics in Nature and Society Advanced Dynamic Simulations in Transportation Guest Editors: Wei Guan, Xuedong Yan, Essam Radwan, Sze Chun Wong, and Xiaoliang Ma Advanced Dynamic Simulations in Transportation Discrete Dynamics in Nature and Society Advanced Dynamic Simulations in Transportation Guest Editors: Wei Guan, Xuedong Yan, Essam Radwan, Sze Chun Wong, and Xiaoliang Ma Copyright © 2015 Hindawi Publishing Corporation. All rights reserved. This is a special issue published in “Discrete Dynamics in Nature and Society.” All articles are open access articles distributed underthe Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Editorial Board Pedro Albertos, Spain Lawrence P.Horwitz, Israel Morteza Rafei, The Netherlands Douglas R. Anderson, USA Abderrahman Iggidr, France Mustapha A. Rami, Spain Ivan Area, Spain Giuseppe Izzo, Italy Aura Reggiani, Italy David Arroyo, Spain Sarangapani Jagannathan, USA Pavel Rehak, Czech Republic Viktor Avrutin, Germany Jun Ji, USA Paolo Renna, Italy Stefan Balint, Romania Jorge J. Julvez,´ Spain Marko Robnik, Slovenia Kamel Barkaoui, France Govindan Kannan, Denmark Yuriy Rogovchenko, Norway Gian I. Bischi, Italy Nikos I. Karachalios, Greece Silvia Romanelli, Italy Jean-Louis Boimond, France Eric R. Kaufmann, USA Ventsi G. Rumchev, Australia Gabriele Bonanno, Italy Candace M. Kent, USA Josep Sardanyes, Spain Driss Boutat, France Ryusuke Kon, Japan Leonid Shaikhet, Ukraine Gabriella Bretti, Italy Victor S. Kozyakin, Russia Peng Shi, Australia Filippo Cacace, Italy Mustafa Kulenovic,´ USA Seenith Sivasundaram, USA Pasquale Candito, Italy Jurgen¨ Kurths, Germany Charalampos Skokos, South Africa Cengiz C¸inar,Turkey Kousuke Kuto, Japan Michael Sonis, Israel Carmen Coll, Spain Aihua Li, USA Piergiulio Tempesta, Spain Alicia Cordero, Spain Xiaohui Liu, UK Tetsuji Tokihiro, Japan Daniel Czamanski, Israel Jean J. Loiseau, France Juan R. Torregrosa, Spain RichardH.Day,USA Miguel Afhngel´ Lopez,´ Spain DelfimF.M.Torres,Portugal Manuel De la Sen, Spain Ricardo Lopez-Ruiz,´ Spain Firdaus Udwadia, USA Luisa Di Paola, Italy Agustin Martin, Spain Antonia Vecchio, Italy Josef Dibl´ık, Czech Republic Akio Matsumoto, Japan Francisco R. Villatoro, Spain Xiaohua Ding, China Rigoberto Medina, Chile Hubertus Von Bremen, USA Adam Doliwa, Poland Vicenc¸Mendez,´ Spain Bixiang Wang, USA Elmetwally Elabbasy, Egypt Eleonora Messina, Italy Abdul-Aziz Yakubu, USA Hassan A. El-Morshedy, Egypt Ahmad Naimzada, Italy Bo Yang, USA Jacques Ferland, Canada Garyfalos Papashinopoulos, Greece Necmettin Yildirim, USA Daniele Fournier-Prunaret, France Juan Pavon,´ Spain Zhengqiu Zhang, China CiprianG.Gal,USA Allan C. Peterson, USA Binggen Zhang, China Gisele` R Goldstein, USA Giuseppe Piccardo, Italy Guang Zhang, China Vladimir Gontar, Israel Andrew Pickering, Spain Lu Zhen, China Chris Goodrich, USA Peter Plath, Germany Zhan Zhou, China Pilar R. Gordoa, Spain Chuanxi Qian, USA Yong Zhou, China Luca Guerrini, Italy I. Rachunkov˚ a,´ Czech Republic Zuo-Nong Zhu, China Contents Advanced Dynamic Simulations in Transportation,WeiGuan,XuedongYan,EssamRadwan, SzeChunWong,andXiaoliangMa Volume 2015, Article ID 675263, 2 pages Simulation-Based Sensor Location Model for Arterial Street, Qinxiao Yu, Ning Zhu, Geng Li, and Shoufeng Ma Volume 2015, Article ID 854089, 13 pages A Segmented Signal Progression Model for the Modern Streetcar System, Baojie Wang, Wei Wang, Xiaojian Hu, and Xiaowei Li Volume 2015, Article ID 763565, 10 pages Timetable Design for Urban Rail Line with Capacity Constraints,Yu-TingZhu,Bao-HuaMao,LuLiu, and Ming-Gao Li Volume 2015, Article ID 429219, 11 pages Big Data-Driven Based Real-Time Traffic Flow State Identification and Prediction,Hua-puLu, Zhi-yuan Sun, and Wen-cong Qu Volume 2015, Article ID 284906, 11 pages The Optimization of Transportation Costs in Logistics Enterprises with Time-Window Constraints, Qingyou Yan and Qian Zhang Volume 2015, Article ID 365367, 10 pages Modeling Mixed Bicycle Traffic Flow: A Comparative Study on the Cellular Automata Approach, Dan Zhou, Sheng Jin, Dongfang Ma, and Dianhai Wang Volume 2015, Article ID 420581, 11 pages Recycler Reaction for the Government Behavior in Closed-Loop Supply Chain Distribution Network: Based on the System Dynamics, Xi gang Yuan and Xiao qing Zhang Volume 2015, Article ID 206149, 11 pages Hindawi Publishing Corporation Discrete Dynamics in Nature and Society Volume 2015, Article ID 675263, 2 pages http://dx.doi.org/10.1155/2015/675263 Editorial Advanced Dynamic Simulations in Transportation Wei Guan,1 Xuedong Yan,1 Essam Radwan,2 Sze Chun Wong,3 and Xiaoliang Ma4 1 MOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology, Beijing Jiaotong University, Beijing 100044, China 2Center for Advanced Transportation Systems Simulations, University of Central Florida, Orlando, FL 32816, USA 3Department of Civil Engineering, The University of Hong Kong, Pokfulam, Hong Kong 4Department of Transportation Sciences and Centre for Traffic Research (CTR), Royal Institute of Technology (KTH), 10044Stockholm,Sweden Correspondence should be addressed to Wei Guan; [email protected] Received 6 July 2015; Accepted 7 July 2015 Copyright © 2015 Wei Guan et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Advanced simulation methods have been widely applied in Q. Yan and Q. Zhang present a biobjective transportation cost the field of transportation for driving behavior investigation, model for solving a multiobjective vehicle routing problem planning, design and operation of transportation systems, with soft time-window constraints that specify the earliest evaluation of transportation policy, and innovation of intel- and latest arrival times of customers. ligent transportation systems (ITS). With the development Traffic flow big data strongly shows temporal, spatial, and of computer technologies, dynamic simulations even in a historical correlations. H. Lu et al. use speed and occupancy real time manner become more and more powerful and data to develop the traffic flow state clustering model. Using a sophisticated in either practical applications or scientific bilevel optimization model, the authors calculate the number research in the transportation field. This special issue aims to of temporal-spatial-historical correlation variables and traffic discuss and share experience in theoretical analyses, state-of- flow state formulation of regional traffic flow. Traffic sensors the-art techniques, and cutting-edge case studies of advanced (e.g., magnetic detectors, cameras, and bluetooth detectors) dynamic transportation simulations. provide real-time data for traffic operation surveillance and In this special issue, we collect seven papers that involve arterial travel time estimation. Considering the restriction in different aspects of advanced simulation techniques to the sensors’ installation cost, Q. Yu et al. propose a sensor explore the mechanism of transportation operation, effective- location model to find the optimal sensor placement for ness of intelligent transportation systems, driving behavior minimizing the travel time estimation error in signalized and traffic operation, and transportation logistics system arterial. performance under various scenarios. As the economy develops rapidly, deepening urbaniza- In the field of transportation logistics, closed-loop sup- tionandtheincreasingurbanpopulationleadtoalarge ply chain distribution network system has become a new demand for urban rail transit in many cities. The modern research point since people pursue circular economy and streetcar system is considered as an important mode of social sustainable development. X. Yuan and X. Zhang urbantransitsystemsinChina.However,itsconstruction establish use of Vensim software to simulate three-loop anddevelopmentfacemassivechallengesduetotheconflicts supply chain distribution network system model and inves- between streetcars and other vehicles at the intersections in tigate the relationship among supplier, manufacturer, retail- urban road networks. B. Wang et al. develop a segmented ers, and products (parts) recycler with the government signal progression model for modern streetcar system in policy. In a competitive environment, transportation costs order to ensure high streetcar system efficiency and min- are an important part of the costs of logistics enterprises. imize its negative impacts on transit and vehicular traffic. 2 Discrete Dynamics in Nature and Society On the other hand, many urban rail systems have been plagued by heavy passenger flow, and thus it is critical to design an efficient and economical timetable for a heavily congested urban rail corridor. Y.-T. Zhu et al. propose a model for timetable design of urban rail line with capacity constraints to identify the departure time of trains at the start terminal and minimize the system cost, including passenger waiting cost and operating cost. A two-stage simulation- based genetic algorithm is developed to solve the model. Interestingly,whilemostofthesimulationmodelsare explored for motor vehicles, Zhou et al. improve the Nagel- Schreckenberg (NS) CA model and the multivalue CA (M- CA) model for both regular bicycles and electric bicycles and provide useful simulation tools for mixed traffic operation