Offering a unifying theoretical perspective not readily available in any other text, this innovative guide to econometrics uses simple geometrical arguments to develop students' intuitive understanding of basic and advanced topics, emphasizing throughout the practical applications of modern theory and nonlinear techniques of estimation. One theme of the text is the use of artificial regressions for estimation, reference, and specification testing of nonlinear models, including diagnostic tests for parameter constancy, serial correlation, heteroscedasticity, and other types of mis-specification. Explaining how estimates can be obtained and tests can be carried out, the authors go beyond a mere algebraic description to one that can be easily translated into the commands of a standard econometric software package. Covering an unprecedented range of problems with a consistent emphasis on those that arise in applied work, this accessible and coherent guide to the most vital topics in econometrics today is indispensable for advanced students of econometrics and students of statistics interested in regression and related topics. It will also suit practising econometricians who want to update their skills. Flexibly designed to accommodate a variety of course levels, it offers both complete coverage of the basic material and separate chapters on areas of specialized interest.

Estimation and Inference in Econometrics

In this paper, the analysis of recent advances in genetic algorithms is discussed. The genetic algorithms of great interest in research community are selected for analysis. This review will help the new and demanding researchers to provide the wider vision of genetic algorithms. The well-known algorithms and their implementation are presented with their pros and cons. The genetic operators and their usages are discussed with the aim of facilitating new researchers. The different research domains involved in genetic algorithms are covered. The future research directions in the area of genetic operators, fitness function and hybrid algorithms are discussed. This structured review will be helpful for research and graduate teaching.

/pdf/a-review-on-genetic-algorithm-past-present-and-future-2o5y8ru178.pdf

A review on genetic algorithm: past, present, and future

combinatorial auctions What to say and what to do when mostly your friends love reading? Are you the one that don't have such hobby? So, it's important for you to start having that hobby. You know, reading is not the force. We're sure that reading will lead you to join in better concept of life. Reading will be a positive activity to do every time. And do you know our friends become fans of combinatorial auctions as the best book to read? Yeah, it's neither an obligation nor order. It is the referred book that will not make you feel disappointed.

Combinatorial Auctions

https://www.cirrelt.ca/DocumentsTravail/CIRRELT-2011-62.pdf

A review of dynamic vehicle routing problems

The multiple traveling salesman problem (mTSP) is a generalization of the well-known traveling salesman problem (TSP), where more than one salesman is allowed to be used in the solution. Moreover, the characteristics of the mTSP seem more appropriate for real-life applications, and it is also possible to extend the problem to a wide variety of vehicle routing problems (VRPs) by incorporating some additional side constraints. Although there exists a wide body of the literature for the TSP and the VRP, the mTSP has not received the same amount of attention. The purpose of this survey is to review the problem and its practical applications, to highlight some formulations and to describe exact and heuristic solution procedures proposed for this problem.

The multiple traveling salesman problem : an overview of formulations and solution procedures

Travel, like many other aspects of daily life is being transformed by the information technology (IT) revolution. Accessibility can no longer be measured only in terms of travel time, distance or generalized travel cost. IT gives people virtual accessibility to a rapidly growing range of activities. E-commerce has become a catalyst for structural changes in the freight transportation industry and is changing where freight moves, the size of typical shipments and the time within which goods must be delivered. In this paper, we explore some of the potential effects of IT on transportation, both personal and freight.

/pdf/impacts-of-information-technology-on-personal-travel-and-cjehuxftg2.pdf

Impacts of information technology on personal travel and commercial vehicle operations: research challenges and opportunities

This paper describes a solution method for a multiple traveling salesman problem with time window constraints (m-TSPTW). The method was developed for local truckload pickup and delivery problems such as those supporting rail or maritime intermodal operations but is suitable for application in other problems in which the number of tasks assigned to each server at any time is relatively small. We present a model and describe an iterative solution technique in which explicit time constraints are replaced by binary flow variables. At each iteration two versions of the problem, one over-constrained and the other under-constrained are solved. The solution to the over-constrained problem provides a feasible solution, while the optimality gap provided by the two solutions informs the decision of whether to continue searching or to implement the best solution found so far. A specific time window partitioning scheme is used to ensure that the cost of solutions found are monotonically non-increasing. The method developed is suitable for real-time or quasi real-time implementation.

Local truckload pickup and delivery with hard time window constraints

In this paper we review freight forecasting models and current advances and needs with respect to data and model development. We then present a case study to suggest which models should be developed for the State of California in the US. We suggest several alternatives including an aggregate commodity flow model, a disaggregate regional logistics model and a hybrid regional logistics model with a truck touring model. We point out however, that the data requirements for the latter model would be extensive. In addition, the development of hybrid models, for example progress in the integration of regional logistics models with urban truck touring models, will introduce new problems such as reconciling the outputs of multiple models for consistency.

/pdf/state-of-the-art-of-freight-forecast-modeling-lessons-3uxu4mceoy.pdf

State-of-the art of freight forecast modeling: lessons learned and the road ahead

A primary goal of intelligent transportation systems is to improve road safety. The ability of vehicles to communicate is a promising way to alleviate traffic accidents by reducing the response time associated with human reaction to nearby drivers. Vehicle mobility patterns caused by varying traffic dynamics and travel behavior lead to considerable complexity in the efficiency and reliability of vehicular communication networks. This causes two major routing issues: the broadcast storm problem and the network disconnection problem. In this article we review broadcast communication in vehicular communication networks and mechanisms to alleviate the broadcast storm problem. Moreover, we introduce vehicular safety applications, discuss network design considerations, and characterize broadcast protocols in vehicular networks.

Broadcasting safety information in vehicular networks: issues and approaches

The procurement of transportation services is an important task for shippers because of the need to control costs at the same time as providing high service levels. When shippers with goods and/or materials to transport seek transportation services from outside companies they typically put out a request for quotes from a set of carriers. They then assign contracts based on negotiated service charges. This process is similar to a simple sealed-bid auction in which each bidder submits a sealed bid for a single item. In the past, when shippers need to procure transportation services for a set of distinctive delivery routes (called lanes) they would obtain quotes for each lane individually and repeat the simple auction process for each lane. Alternatively, they might negotiate for bundles of lanes with a single carrier at a time. However, in the last few years software has been developed to allow shippers to make all lanes available for bidding simultaneously and to allow carriers to simultaneously bid upon combinations of individual lanes. This method of awarding contracts, conventionally called a combinatorial auction, has been reported to result in significant cost savings for shippers. Our research examines the benefits of combinatorial auctions primarily from the carrier's perspective. Preliminary findings, based on a simple simulation model suggest that benefits for carriers can also be significant.

Amelia C. Regan

Papers

Impacts of information technology on personal travel and commercial vehicle operations: research challenges and opportunities

Local truckload pickup and delivery with hard time window constraints

State-of-the art of freight forecast modeling: lessons learned and the road ahead

Broadcasting safety information in vehicular networks: issues and approaches

Combinatorial Auctions for Transportation Service Procurement: The Carrier Perspective