This paper considers a transportation problem for moving empty or laden containers for a logistic company. A model for this truck and trailer vehicle routing problem (TTVRP) is first constructed in the paper. The solution to the TTVRP consists of finding a complete routing schedule for serving the jobs with minimum routing distance and number of trucks, subject to a number of constraints such a...

A better similarity mapping function across heterogeneous high-dimensional features is very desirable for many applications involving multi-modal data. In this paper, we introduce coupled dictionary learning (DL) into supervised sparse coding for multi-modal (crossmedia) retrieval. We call this Supervised coupleddictionary learning with group structures for MultiModal retrieval (SliM). SliM for...

Mobility as a Service (MaaS) applies the everything-asa-service paradigm of Cloud Computing to transportation: a MaaS provider offers to its users the dynamic composition of solutions of different travel agencies into a single, consistent interface. Traditionally, transits and data on mobility belong to a scattered plethora of operators. Thus, we argue that the economic model of MaaS is that of...

The 2-degree guardrail of global warming, together with accelerating urbanization and growing scarcity of oil, demands a redesign of todays’ sprawling cities in order to limit greenhouse gases and bring about efficiently built-up structures. In 2001, 42 percent of commuter paths within Vienna are traveled by private cars. This week-daily, recurring traffic pattern causes tons of Co2 and support...

We introduce the multi-agent transportation (MAT) problem, where agents have to transport containers from their starting positions designated goal positions. Movement takes place in a common environment collisions between and must be avoided. In contrast other frameworks such as pathfinding (MAPF) or pickup delivery (MAPD), are allowed separate at any time, which can reduce makespan also allows...

Congestion pricing strategy has been recognized as an effective countermeasure in the practical field of urban traffic congestion mitigation. In this paper, a bi-level programming model considering carbon dioxide emission is proposed to mitigate traffic congestion and reduce carbon dioxide emissions. The objective function of the upper level model is to minimize the sum of travel costs and the ...

Reliable communications and spatial connection are essential to critical operations of ports. To assure services and security, optimal-degree spider-web networks are prototyped in the dedicated short range communications (DSRC) linked as the surveillance-control network along port’s critical passages to benefit coping with detection-unavailability, radio interference. The radial-ring road confi...

Wayfinding Wayfinding is a complex human activity involving moving along while evaluating alternatives and making decisions. It is defined as a spatial problem solving process with the three sub-processes decision-making, decision execution, and information processing. In our research we focus on the information processing aspect of wayfinding. Our main scientific goal is a cognitively plausibl...

Multiple operating modes can be found in many embedded devices (e.g., smart-phones) to efficiently utilize device resources. As similar advantages are also preferred under realtime settings, there have been researches to develop realtime multi-modal systems. However, many commerciallyavailable embedded devices still depend on unimodal operations even for inherent multi-modal systems (e.g., auto...

In multi-modal learning, data consists of multiple modalities, which need to be represented jointly to capture the real-world ’concept’ that the data corresponds to (Srivastava & Salakhutdinov, 2012). However, it is not easy to obtain the joint representations reflecting the structure of multi-modal data with machine learning algorithms, especially with conventional neural networks. This is bec...