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 ...

As personal transportation is one of the greatest contributors of CO2 emissions, means able to assist travelers in reducing their ecological impact are urgently needed. In this work we focus on travel recommenders that encourage green transportation habits among travelers who have a preexisting interest in taking action to lessen their impact on the environment. We aim to provide urban traveler...

Transportation is the driving force of any country. Today we are facing an explosion in the number of motor vehicles that affects our daily routines. Intelligent transportation systems (ITS) aim to provide efficient tools that solve traffic problems. Predicting route congestions during different day periods can help drivers choose better routes for their trips. In this paper we propose “HITS” a...

The latest transportation systems require the best routes in a large network with respect tomultiple objectives simultaneously to be calculated in a very short time. The label setting algorithm ofMartins efficiently finds this set of Pareto optimal paths, but sometimes tends to be slow, especially for large networks such as transportation networks. In this article we investigate a number of spe...

We study the problem of optimizing traffic in decentralized transportation networks, where the cost of a link depends on its congestion. If users of a transportation network are permitted to choose their own routes, they generally try to minimize their personal travel time. In the absence of centralized coordination, such a behavior can be inefficient for society and even for each individual us...

Determining optimal routes for given freight is a core decision in logistics. In intermodal logistics, freight routing has to consider the interfaces between different modes of transportation, such as hand-over offsets, load changes, and organizational procedures. We study this problem from the perspective of Service-Oriented Computing (SOC). We (1) propose representing intermodal transport sys...

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...

We study a multicommodity routing problem faced by an intermodal service operator that uses ground and maritime transportation. Given a planning horizon, a set of commodities to be picked up at their release times and to be delivered not later than their duedates, the problem is to decide on routes for these commodities using trucks and scheduled and capacitated maritime services at minimum cos...

Route Evacuation Planning is the science of ensuring the safest and most efficient evacuation time of all expected residents of a building, city or region, or transportation carriers (e.g., train, ship, and airplane) from a treat or actual occurrence of a hazard (e.g., natural disasters, traffic, industrial, or nuclear accidents, fire, viral outbreak, etc.) [1]. In any scenario (i.e., building,...

This study aims to investigate the impact of outdoor advertising on consumer behaviour by using eye-tracking analysis while drivers travel specific routes in Žilina, Slovakia. research combines questionnaire inquiry and A/B testing assess conscious subconscious effects decisions. The findings this have important implications for businesses providing spaces, as well those a form advertisement. A...