This article describes a tabu search heuristic for the dial-a-ride problem with the following characteristics. Users specify transportation requests between origins and destinations. They may provide a time window on their desired departure or arrival time. Transportation is supplied by a fleet of vehicles based at a common depot. The aim is to design a set of least cost vehicle routes capable ...

Up to now, research on speed-up techniques for DIJKSTRA’s algorithm focused on single-criteria scenarios. The goal was to find the quickest route within a transportation network. However, the quickest route is often not the best one. A user might be willing to accept slightly longer travel times if the cost of the journey is less. A common approach to cope with such a situation is to find Paret...

A common behavioral assumption in the study of transportation and telecommunication networks is that travelers or packets, respectively, choose routes that they perceive as being the shortest under the prevailing traffic conditions [1]. The situation resulting from these individual decisions is one in which drivers cannot reduce their journey times by unilaterally choosing another route, which ...

Building an intelligent route guidance system is increasing important to ease traffic congestion pressure in fast growing cities, as a result of the urbanization trend. In another aspect, the network infrastructures promoted by the ideology of digital city reinforce the Intelligent Transportation Systems (ITS), which provides innovative resolutions to the challenge. As traditional centralized d...

In context-aware route planning, there is a set of transportation agents each with a start and destination location on a shared infrastructure. Each agent wants to find a shortest-time route plan without colliding with any of the other agents, or ending up in a deadlock situation. We present a single-agent route planning algorithm that is both optimal and conflict-free. We also present a set of...

Changes in the demand for bulk cargo will have a significant impact on industrial structure and transportation development planning, trains ships are main means of transportation. Accurately predicting volume can be used to support system management, such as operation planning route selection design. This study uses Elman model conduct empirical analysis, predict changing trend transportation, ...

This paper describes a decision support system based on GIS and satellite remote sensing analysis. Damage triggered by the 2004 Niigata-ken Chuetsu Earthquake was detected using NDVI from SPOT images and texture analysis. Then the emergency transportation route was selected by a cost-based GIS analysis. As the result of the analysis, large-scale damage could be detected with high accuracy. From...

Milk collection from dairy farms challenges quality delivery to plants, fleet cost optimization and adaptive planning for a dynamic production scheme. Current advances in the integration of GIS, optimization techniques, and the Internet have contributed to the development of software tools for strategic management in logistics for milk transportation. This paper presents a tool and a case study...

We propose a new method for mitigating risk in routing hazardous materials (hazmat), based on the conditional value-at-risk (CVaR) measure on time-dependent vehicular networks. The CVaR models are shown to be flexible and suitable for hazmat transportation that can be solved efficiently. This paper extends the previous research by considering CVaR for hazmat transportation in the case where acc...

In the paper, at first, South-West Baltic Sea environmental and transportation conditions are described. Then a present situation in the passenger and vehicle transportation is overviewed based on the situation of Polish and foreign ferry companies. The techno-economical considerations for the passenger/car ferry for Szczecin-Malmoe route are later discussed. Then main particulars of various cr...