Management science is a wide and interdisciplinary study of solving complex problems and making strategic decisions as it pertains to institutions, corporations, governments and other types of organizational entities. It is closely related to management, economics, business, engineering, management consulting, and other fields. It uses various scientific research-based principles, strategies, and analytical methods including mathematical modeling, statistics and numerical algorithms and aims to improve an organization's ability to enact rational and accurate management decisions by arriving at optimal or near optimal solutions to complex decision problems.
Transportation engineering or transport engineering is the application of technology and scientific principles to the planning, functional design, operation and management of facilities for any mode of transportation in order to provide for the safe, efficient, rapid, comfortable, convenient, economical, and environmentally compatible movement of people and goods transport.
Trip distribution is the second component in the traditional four-step transportation forecasting model. This step matches tripmakers’ origins and destinations to develop a “trip table”, a matrix that displays the number of trips going from each origin to each destination. Historically, this component has been the least developed component of the transportation planning model.
Mode choice analysis is the third step in the conventional four-step transportation forecasting model of transportation planning, following trip distribution and preceding route assignment. From origin-destination table inputs provided by trip distribution, mode choice analysis allows the modeler to determine probabilities that travelers will use a certain mode of transport. These probabilities are called the modal share, and can be used to produce an estimate of the amount of trips taken using each feasible mode.
Route assignment, route choice, or traffic assignment concerns the selection of routes between origins and destinations in transportation networks. It is the fourth step in the conventional transportation forecasting model, following trip generation, trip distribution, and mode choice. The zonal interchange analysis of trip distribution provides origin-destination trip tables. Mode choice analysis tells which travelers will use which mode. To determine facility needs and costs and benefits, we need to know the number of travelers on each route and link of the network. We need to undertake traffic assignment. Suppose there is a network of highways and transit systems and a proposed addition. We first want to know the present pattern of traffic delay and then what would happen if the addition were made.
Transportation demand management or travel demand management (TDM) is the application of strategies and policies to increase the efficiency of transportation systems, that reduce travel demand, or to redistribute this demand in space or in time.
In economics, discrete choice models, or qualitative choice models, describe, explain, and predict choices between two or more discrete alternatives, such as entering or not entering the labor market, or choosing between modes of transport. Such choices contrast with standard consumption models in which the quantity of each good consumed is assumed to be a continuous variable. In the continuous case, calculus methods can be used to determine the optimum amount chosen, and demand can be modeled empirically using regression analysis. On the other hand, discrete choice analysis examines situations in which the potential outcomes are discrete, such that the optimum is not characterized by standard first-order conditions. Thus, instead of examining "how much" as in problems with continuous choice variables, discrete choice analysis examines "which one". However, discrete choice analysis can also be used to examine the chosen quantity when only a few distinct quantities must be chosen from, such as the number of vehicles a household chooses to own and the number of minutes of telecommunications service a customer decides to purchase. Techniques such as logistic regression and probit regression can be used for empirical analysis of discrete choice.
Traffic estimation and prediction systems (TrEPS) have the potential to improve traffic conditions and reduce travel delays by facilitating better utilization of available capacity. These systems exploit currently available and emerging computer, communication, and control technologies to monitor, manage, and control the transportation system. They also provide various levels of traffic information and trip advisory to system users, including many ITS service providers, so that travelers can make timely and informed travel decisions.
Transportation forecasting is the attempt of estimating the number of vehicles or people that will use a specific transportation facility in the future. For instance, a forecast may estimate the number of vehicles on a planned road or bridge, the ridership on a railway line, the number of passengers visiting an airport, or the number of ships calling on a seaport. Traffic forecasting begins with the collection of data on current traffic. This traffic data is combined with other known data, such as population, employment, trip rates, travel costs, etc., to develop a traffic demand model for the current situation. Feeding it with predicted data for population, employment, etc. results in estimates of future traffic, typically estimated for each segment of the transportation infrastructure in question, e.g., for each roadway segment or railway station. The current technologies facilitate the access to dynamic data, big data, etc., providing the opportunity to develop new algorithms to improve greatly the predictability and accuracy of the current estimations.
Boston Transportation Planning Review (BTPR), published in 1972, was a transportation planning program for metropolitan Boston, Massachusetts, which was responsible for analyzing and redesigning the entire area-wide transit and highway system in the 1970s. The major contractors involved were Alan M. Voorhees Company (Virginia), project manager; Skidmore, Owings and Merrill, architect; ESL Incorporated (California), air quality and acoustics. The program had close guidance from the national Transportation Research Board (TRB), a division of the US National Academy of Sciences. The first director of the program reporting to the Governor was Alan Altshuler; the project manager was Walter Hansen.
Transportation Economic Development Impact System (TREDIS) is an economic analysis system sold by consulting firm Economic Development Research Group that is used in planning major transportation investments in the US and Canada. The role of economic impact analysis and TREDIS in the transportation planning process is explained in guidebooks of the US Department of Transportation and American Association of State Highway and Transportation Officials.
Caliper Corporation was founded in 1983 as a developer of mapping software and is headquartered in Newton, Massachusetts.
The Green Line Extension (GLX) was a construction project to extend the Massachusetts Bay Transportation Authority (MBTA) Green Line light rail system northwest into Somerville and Medford, two inner suburbs of Boston, Massachusetts. The project opened in two phases in 2022 at a total cost of $2.28 billion. Total ridership on the 4.3-mile (6.9 km) extension is estimated to reach 45,000 one-way trips per day in 2030.
Aimsun Live is a traffic forecasting solution based on simulation, developed and marketed by Aimsun.
The UC Irvine Institute of Transportation Studies (ITS), is a University of California organized research unit with sister branches at UC Berkeley, UC Davis, and UCLA. ITS was established to foster research, education, and training in the field of transportation. UC Irvine ITS is located on the fourth floor of the Anteater Instruction and Research Building at University of California, Irvine's main Campus, and also houses the UC Irvine Transportation Science graduate studies program.
Ball Square station is a light rail station on the Massachusetts Bay Transportation Authority (MBTA) Green Line located at Ball Square in Somerville and Medford, Massachusetts. The accessible station has a single island platform serving the two tracks of the Medford Branch. It opened on December 12, 2022, as part of the Green Line Extension (GLX), which added two northern branches to the Green Line, and is served by the E branch.
Mobility as a service (MaaS) is a type of service that enables users to plan, book, and pay for multiple types of mobility services through a combined platform. Transportation services from public and private transportation providers are combined through a unified gateway, usually via an app or website, that creates and manages the trip and payments, including subscriptions, with a single account. The key concept behind MaaS is to offer travelers flexible mobility solutions based on their travel needs, thus "mobility as a service" also refers to the broader concept of a shift away from personally-owned modes of transportation and towards mobility provided as a service.
Juan de Dios Ortúzar is Emeritus Professor at the Pontifical Catholic University of Chile, Santiago, Chile. He specializes in discrete choice models, valuation of externalities, design and collection of mobility and preference surveys and transportation forecasting. He received a B.Sc. in mathematics and a civil engineering degree at PUC, and an M.Sc. and Ph.D. from the University of Leeds.
Michel Bierlaire is a Belgian-Swiss applied mathematician specialized in transportation modeling and optimization. He is a professor at EPFL and the head of the Transport and Mobility Laboratory.
Yoram Shiftan is a professor in the Faculty of Civil and Environmental Engineering at the Technion – Israel Institute of Technology, where he holds the Joseph Meyerhoff Chair in Urban and Regional Planning.
