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Author : Ralph J. Mattiaccio
Publisher :
ISBN 13 :
Total Pages : 44 pages
Book Rating : 4.:/5 (987 download)
Download or read book Multi-route Efficient Bus-routing Algorithm written by Ralph J. Mattiaccio and published by . This book was released on 2014 with total page 44 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Mahmoud Owais
Publisher : GRIN Verlag
ISBN 13 : 3656913447
Total Pages : 266 pages
Book Rating : 4.6/5 (569 download)
Download or read book Investigating Optimal Bus Routes. Planning and Operation in Urban Areas written by Mahmoud Owais and published by GRIN Verlag. This book was released on 2015-03-05 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: Doctoral Thesis / Dissertation from the year 2015 in the subject Transportation Science & Technology, , course: Transit planning, language: English, abstract: Transit route Network Design Problem (TrNDP) is the most important component in Transit planning, in which the overall cost of the public transportation system highly depends on it. The main purpose of this study is to develop a novel solution methodology for the TrNDP, which goes beyond pervious traditional sophisticated approaches. The novelty of the solution methodology, adopted in this studyr, stands on the deterministic operators which are tackled to construct bus routes. The deterministic manner of the TrNDP solution relies on using linear and integer mathematical formulations that can be solved exactly with their standard solvers. The solution methodology has been tested through Mandl’s benchmark network problem. The test results showed that the methodology developed in this research is able to improve the given network solution in terms of number of constructed routes, direct transit service coverage, transfer directness and solution reliability. Although the set of routes resulted from the methodology would stand alone as a final efficient solution for TrNDP, it could be used as an initial solution for meta-heuristic procedures to approach global optimal. Based on the presented methodology, a more robust network optimization tool would be produced for public transportation planning purposes.
Author : Behzad Rouhieh
Publisher :
ISBN 13 :
Total Pages : 215 pages
Book Rating : 4.:/5 (111 download)
Download or read book Modeling And Optimizing Route Choice For Multimodal Transportation Networks written by Behzad Rouhieh and published by . This book was released on 2016 with total page 215 pages. Available in PDF, EPUB and Kindle. Book excerpt: Traffic congestion has been one of the major issues that most urban areas are facing and thus, many solutions have been developed and deployed in order to mitigate its negative effects. Advanced Traveler Information Systems (ATIS) have been used over the past two decades to provide travelers with pre-trip or real-time traffic information. Most of the efforts have focused on providing timely traffic information at locations with regularly occurring congestion. ATIS can be used to provide travelers with pre-trip and on-route travel information necessary to improve trip decision making with respect to various criteria (e.g. minimizing delay, constraining travel to specific modes). Many jurisdictions within Canada and the United States have implemented the 511 travel information system that provides traffic information, road conditions and closures, traffic cameras, etc. Several studies were conducted on vehicle routing optimization methods in ATIS. Most of them consider passenger vehicles as the only transportation mode in their routing algorithm. Others that include two transportation modes are mostly based on shortest path algorithms. However, a probabilistic based route optimization approach could better capture the stochastic characteristic of road traffic conditions. This research investigates an adaptive routing methodology for multi-modal transportation networks. A routing algorithm based on Markov decision processes is proposed to capture short-term traffic characteristics of transportation networks. Graph theory is used to model typical travel behavior within a multimodal network. This thesis proposes to use special network modeling elements, e.g. super nodes, to allow the integration of public transportation schedule into the model via the publicly available predefined timetables. The proposed routing algorithm applies an iterative function to select the optimal transportation mode/route through the network junctions along a given path. The proposed methodology is applied to several real-world networks of motorized and non-motorized modes located in the central business district in Toronto, Ontario, and Montreal and Longueuil in Quebec. The networks include train, bus, streetcar, subway and bicycle transportation facilities. Microsimulation models of the networks developed in VISSIM and AIMSUN are used to estimate travel times along major arterials, for all transportation modes and for different traffic demands and congestion levels. The simulation models were calibrated using volume and speed data. The developed routing algorithm is applied to several scenarios in order to estimate optimal routes for a hypothetical traveler moving between two arbitrarily selected nodes in the network. The results identify the most efficient combination of transportation modes that the travelers have to use given specific constraints pertaining to traffic and transit service conditions. It is also shown that by applying the proposed algorithm to bus lines, transit agencies can have significant cost savings by rerouting their fleet. The results of the proposed research have the potential to be integrated into various Intelligent Transportation Systems applications by combining available traveler information services. It can assist travelers in making more informed decisions regarding their travel plans and provide transportation agencies with an overall assessment of the system and its performance. For example, it can be used to minimize the impact of congested traffic conditions on the overall travel time and/or cost incurred by travelers as well as the operating cost of transit agencies.
Author : Seung Young Kho
Publisher :
ISBN 13 :
Total Pages : 196 pages
Book Rating : 4.:/5 (7 download)
Download or read book Design of Bus Routes for a Many-to-few Travel Demand written by Seung Young Kho and published by . This book was released on 1989 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Rita Mochan Newton
Publisher :
ISBN 13 :
Total Pages : 288 pages
Book Rating : 4.E/5 ( download)
Download or read book Bus Routing in a Multi-school System written by Rita Mochan Newton and published by . This book was released on 1970 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Brian Keith Immel
Publisher :
ISBN 13 :
Total Pages : 166 pages
Book Rating : 4.:/5 (488 download)
Download or read book Multiple Municipal Bus Routing Utilizing Genetic Algorithms written by Brian Keith Immel and published by . This book was released on 2001 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Johnny Belcher
Publisher :
ISBN 13 :
Total Pages : 39 pages
Book Rating : 4.:/5 (16 download)
Download or read book Bus Routing Algorithms written by Johnny Belcher and published by . This book was released on 2005 with total page 39 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper proposes a mathematical model that delineates a feasible system of bus transportation for this multiple-school district. The model is composed of six elementary school districts which are part of the overall middle school and high school district. This proposal attempts to show Laurel district busing as a representative sample of what needs to be done in all six elementary districts. Final transportation routes from all six districts to the centrally located county Middle and High Schools are included and explained. Both elementary district and entire county algorithms are included. First, the population distribution was analyzed and bus stops were created for the sample Laurel district such that the average number of children per stop is maximized and each child walks no more than a predetermined distance. Next, the bus stops were grouped geographically into regions of roughly equivalent number of students, and the viable routes for each region were determined. Finally, these routes were sequenced by the implementation of the NCL (No Child Left at Bus Stop) algorithm created for the Madison County Schools. The algorithm has been created so that changes can be made to accommodate adjustments in parent and school board decisions.
Author : Jimmy T. Yip
Publisher :
ISBN 13 :
Total Pages : 136 pages
Book Rating : 4.:/5 (551 download)
Download or read book Multiple Criteria Routing Algorithm for Route Guidance on Transportation Network written by Jimmy T. Yip and published by . This book was released on 1994 with total page 136 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Wei Chen
Publisher :
ISBN 13 :
Total Pages : 92 pages
Book Rating : 4.:/5 (315 download)
Download or read book An Efficient Self-routing Algorithm on Multi-stage Networks written by Wei Chen and published by . This book was released on 1994 with total page 92 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : James Allen Bonneson
Publisher :
ISBN 13 :
Total Pages : 152 pages
Book Rating : 4.:/5 (19 download)
Download or read book An Efficient Heuristic Algorithm for Routing School Buses with a Microcomputer written by James Allen Bonneson and published by . This book was released on 1984 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Stanley T. L. Lung
Publisher :
ISBN 13 :
Total Pages : 238 pages
Book Rating : 4.:/5 (278 download)
Download or read book A Scheduling and Routing Algorithm for Fixed Route Bus with (or Without) Door-stop Deviation Service written by Stanley T. L. Lung and published by . This book was released on 1974 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Omar Dib
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (113 download)
Download or read book Dynamic Rerouting in Multimodal Transportation Networks written by Omar Dib and published by . This book was released on 2017 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The human mobility is nowadays organized in a multimodal context with more and more complex transport networks. The number of passengers is increasing and new transport modes enter the system day after day simultaneously with new mobility behaviors. As a result, users usually find themselves more confused when choosing between several possibilities to go from one place to their destination. For the sake of helping them to efficiently navigate through this intricate transportation scheme, an efficient Travelers Information System (TIS) has to be built. Thanks to such a system, the transport operators seek not only to provide passengers with optimal itineraries, but also with efficient and reliable solutions in case of disruptions. In fact, commuters do not only seek short time travels, but they usually consider several other criteria such as comfort and effort. An efficient routing system should therefore take into account the various needs and preferences of each passenger. Besides, transport modes are often prone to delays. Thus, handling uncertainty is also a very important aspect of practical journey planning systems. Moreover, the proposed multimodal routes should not only be feasible in a static case, but also robust against the dynamic and stochastic variations of the transport system. Furthermore, crucial constraints should be taken into account such as the capacity limitation of vehicles and the time complexity of the developed routing algorithms. The main objective of this thesis is to propose a formulation that adequately allows representing a multimodal network. Based on our formulation, we elaborate several efficient routing algorithms. In particular, we focus on solving the Earliest Arrival Problem in a single/multiple criteria context, both in dynamic and stochastic environments. To deal with the real time complexity issue, metaheuristics such as Genetic Algorithms (GA), Variable Neighborhood Search (VNS) and Memetic Algorithms (MA) have been used. The computational performance of this work has been assessed by developing a real world route planning system, and solving real life itinerary planning problems defined on the transport network of the French Region Île-de-France that includes the city of Paris and its suburbs. The emerging computational results indicate that the numerous basic and complex instances were solved within a reasonable amount of time and the integration of the proposed routing framework as a module of an operational TIS is relevant.
Author : Samitha Samaranayake
Publisher :
ISBN 13 :
Total Pages : 187 pages
Book Rating : 4.:/5 (919 download)
Download or read book Routing Strategies for the Reliable and Efficient Utilization of Road Networks written by Samitha Samaranayake and published by . This book was released on 2014 with total page 187 pages. Available in PDF, EPUB and Kindle. Book excerpt: The research presented in this dissertation aims to develop computationally tractable models and algorithms for the reliable and efficient utilization of capacity restricted transportation networks via route selection and demand redistribution, motivated by the fact that traffic congestion in road networks is a major problem in urban communities. Three related topics are considered, 1) route planning with reliability guarantees, 2) system optimal dynamic traffic assignment, and 3) controlling user equilibrium departure times. Route planning can in many practical settings require finding a route that is both fast and reliable. However, in most operational settings, only deterministic shortest paths are considered, and even when the link travel-times are known to be stochastic the common approach is to simply minimize the expected travel-time. This approach does not account for the variance of the travel-time and gives no reliability guarantees. In many cases, travelers have hard deadlines or are willing to sacrifice some extra travel-time for increased travel-time reliability, such as in commercial routing applications where delivery guarantees need to be met and perishables need to be delivered on time. The research presented in this dissertation develops fast computation techniques for the reliable routing problem known as the stochastic on-time arrival (SOTA) problem, which provides a routing strategy that maximizes the probability of arriving at the destination within a fixed time budget. Selfish user optimal routing strategies can, however, lead to very inefficient traffic equilibria in congested traffic networks. This "Price of Anarchy" can be mitigated using system optimal coordinated routing algorithms. The dissertation considers the system optimal dynamic traffic assignment problem when only a subset of the network agents can be centrally coordinated. A road traffic dynamics model is developed based on the Lighthill-Williams-Richards partial differential equation and a corresponding multi-commodity junction solver. Full Lagrangian paths are assumed to be known for the controllable agents, while only the aggregate split ratios are required for the non-controllable (selfish) agents. The resulting non-linear optimal control problem is solved efficiently using the discrete adjoint method. Spill-back from under-capacitated off-ramps is one of the major causes of congestion during the morning commute. This spill-back induces a capacity drop on the freeway, which then creates a bottleneck for the mainline traffic that is passing by the off-ramp. Therefore, influencing the flow distribution of the vehicles that exit the freeway at the off-ramp can improve the throughput of freeway vehicles that pass this junction. The dissertation studies the generalized morning commute problem where vehicles exiting the freeway at the under-capacitated off-ramp have a fixed desired arrival time and a corresponding equilibrium departure time schedule, and presents strategies to manipulated this equilibrium to maximize throughput on the freeway via incentives or tolls.
Download or read book Multi-Objective Evolutionary Algorithms for Vehicle Routing Problems written by and published by . This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The Vehicle Routing Problem, which main objective is to find the lowest-cost set of routes to deliver goods to customers, has many applications in transportation services. In the past, costs have been mainly associated to the number of routes and the travel distance, however, in real-world problems there exist additional objectives. Since there is no known exact method to efficiently solve the problem in polynomial time, many heuristic techniques have been considered, among which, evolutionary methods have proved to be suitable for solving the problem. Despite this method being able to provide a set of solutions that represent the trade-offs between multiple objectives, very few studies have concentrated on the optimisation of more than one objective, and even fewer have explicitly considered the diversity of solutions, which is crucial for the good performance of any evolutionary computation technique. This thesis proposes a novel Multi-Objective Evolutionary Algorithm to solve two variants of the Vehicle Routing Problem, regarding the optimisation of at least two objectives. This approach incorporates a method for measuring the similarity of solutions, which is used to enhance population diversity, and operators that effectively explore and exploit the search space. The algorithm is applied to typical benchmark problems and empirical analyses indicate that it efficiently solves the variants being studied. Moreover, the proposed method has proved to be competitive with recent approaches and outperforms the successful multi-objective optimiser NSGA-II.
Author : 陳煥升
Publisher :
ISBN 13 :
Total Pages : 52 pages
Book Rating : 4.:/5 (87 download)
Download or read book A Framework for Efficient Multi-Requests Route Planning in Urban Areas written by 陳煥升 and published by . This book was released on 2013 with total page 52 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Robin Lovelace
Publisher : CRC Press
ISBN 13 : 1351396900
Total Pages : 335 pages
Book Rating : 4.3/5 (513 download)
Download or read book Geocomputation with R written by Robin Lovelace and published by CRC Press. This book was released on 2019-03-22 with total page 335 pages. Available in PDF, EPUB and Kindle. Book excerpt: Geocomputation with R is for people who want to analyze, visualize and model geographic data with open source software. It is based on R, a statistical programming language that has powerful data processing, visualization, and geospatial capabilities. The book equips you with the knowledge and skills to tackle a wide range of issues manifested in geographic data, including those with scientific, societal, and environmental implications. This book will interest people from many backgrounds, especially Geographic Information Systems (GIS) users interested in applying their domain-specific knowledge in a powerful open source language for data science, and R users interested in extending their skills to handle spatial data. The book is divided into three parts: (I) Foundations, aimed at getting you up-to-speed with geographic data in R, (II) extensions, which covers advanced techniques, and (III) applications to real-world problems. The chapters cover progressively more advanced topics, with early chapters providing strong foundations on which the later chapters build. Part I describes the nature of spatial datasets in R and methods for manipulating them. It also covers geographic data import/export and transforming coordinate reference systems. Part II represents methods that build on these foundations. It covers advanced map making (including web mapping), "bridges" to GIS, sharing reproducible code, and how to do cross-validation in the presence of spatial autocorrelation. Part III applies the knowledge gained to tackle real-world problems, including representing and modeling transport systems, finding optimal locations for stores or services, and ecological modeling. Exercises at the end of each chapter give you the skills needed to tackle a range of geospatial problems. Solutions for each chapter and supplementary materials providing extended examples are available at https://geocompr.github.io/geocompkg/articles/. Dr. Robin Lovelace is a University Academic Fellow at the University of Leeds, where he has taught R for geographic research over many years, with a focus on transport systems. Dr. Jakub Nowosad is an Assistant Professor in the Department of Geoinformation at the Adam Mickiewicz University in Poznan, where his focus is on the analysis of large datasets to understand environmental processes. Dr. Jannes Muenchow is a Postdoctoral Researcher in the GIScience Department at the University of Jena, where he develops and teaches a range of geographic methods, with a focus on ecological modeling, statistical geocomputing, and predictive mapping. All three are active developers and work on a number of R packages, including stplanr, sabre, and RQGIS.
Author : Transit Cooperative Research Program
Publisher : Transportation Research Board
ISBN 13 : 0309087767
Total Pages : 29 pages
Book Rating : 4.3/5 (9 download)
Download or read book Transit Capacity and Quality of Service Manual written by Transit Cooperative Research Program and published by Transportation Research Board. This book was released on 2003 with total page 29 pages. Available in PDF, EPUB and Kindle. Book excerpt: Accompanying CD-ROM contains full text of the manual, Microsoft Excel spreadsheets, and a library of related documents.
