We present a framework for modeling and heuristic solving of large-scale real-world vehicle routing and scheduling problems (VRPSs). Real-world problems have in common that their size is usually large or very large (including thousands of requests) and that they include a number of side constraints that are not present in the abstract standard models that are usually considered in the Operation...

This paper presents the development of a novel framework that optimizes the evacuation of large cities using multiple modes including vehicular traffic, rapid transit, and mass transit shuttle buses. A large-scale evacuation model is developed for the evacuation of the City of Toronto in cases of emergency. A demand estimation model is first designed to accurately quantify the evacuation demand...

Transportation planning requires both, decisions on the choice of transport resources and decisions on the deployment of the chosen resources. Therefore, transportation orders must be assigned to resources for fulfillment while the operations for the usage of each resource have to be planned. Most freight forwarding companies have to cope with a strongly fluctuating demand on the transportation...

Planning Waste Management involves the two major resources collection-vehicles and crews. The overall goal of our on-going project with two waste management companies is an integrative approach for planning the routes and the crews of the vehicles. Here we focus on the route generation as modeled in the first two phases of our three-phase optimization approach. We introduce relevant practical r...

Due to the suddenness and uncertainty of COVID-19, sufficient emergency resources should be allocated appropriate space within a limited time. In order ensure smooth implementation resource scheduling, must timely effectively supplied. Therefore, it is great significance study how reasonably distribute optimize vehicle routing problem improve efficiency emergency. Based on research capacitated ...

In this study, a genetic algorithm is applied to obtain the best combination of transportation parameters for vehicle dispatching. The searching mechanism based on genetic algorithm can find several feasible solutions of dispatching parameters to proceed with transportation plan within constrained conditions. Besides, the concept of fuzzy due time is applied to replace that of time window so as...

In this paper, a survey is presented on the use of optimization models for integration electric vehicles (EVs) and charging stations (CSs) in energy system, paying particular attention both to planning problems (i.e., those related long term decisions such as siting sizing CSs), operational management optimal scheduling EVs smart grids, microgrids buildings taking into account vehicle-to-grid (...

A heuristic algorithm is described for vehicle routing and scheduling problems to minimise the total travel time, where the time required for a vehicle to travel along any road in the network varies according to the time of travel. The variation is caused by congestion that is typically greatest during morning and evening rush hours. The algorithm is used to schedule a fleet of delivery vehicle...

Taniguchi defines City Logistics as “the process of totally optimising the logistics and transport activities by private companies in urban areas while considering the traffic environment, traffic congestion and energy consumption within the framework of a market economy”. The distribution of goods based on road services in urban areas contribute to traffic congestion, generates environmental i...