In the field of dynamic vehicle routing, the importance to integrate stochastic information about possible future events in current decision making increases. Integration is achieved by anticipatory solution approaches, often based on approximate dynamic programming (ADP). ADP methods estimate the expected mean values of future outcomes. In many cases, decision makers are risk-averse, meaning t...

Vehicle routing is a complex optimization problem with numerous variants related to various forms of transport planning. Particularly in an operational planning situation, the dynamic and stochastic aspects of the problems are important. The research project Dynamic Optimization in Transportation (DOiT) addresses vehicle routing in such a dynamic setting. In this survey, we give an overview of ...

In this paper we propose a composite Variational Inequality formulation for modeling multimode, multi-class stochastic dynamic user equilibrium problem in recurrent congestion networks with queues. The modes typically refer to different vehicle types such as passenger cars, trucks, and buses sharing the same road space. Each vehicle type has its own characteristics, such as free flow speed, veh...

This paper proposes a dynamic vehicle routing problem (DVRP) model with fuzzy customer responses and suggests optimal strategies. Most DVRP studies have focused on how to create new route upon the occurrence of situations such as unexpected demands. However, received little attention. When pop-up demand is added one planned routes, service for some optimally demands may be delayed. Customers fi...

It is necessary to thoroughly evaluate the effectiveness and safety of Connected Vehicles (CVs) algorithm before their release and deployment. Current evaluation approach mainly relies on simulation platform with the single-vehicle driving model. The main drawback of it is the lack of network realism. To overcome this problem, we extract naturalistic V2V encounters data from the database, and t...

This paper develops methodologies for an adaptive robust path tracking control of a nonholonomic Wheeled Mobile Robot (WMR) with nonlinear driving characteristics and unknown dynamic parameters. To solve the problem of position/orientation tracking control of WMR, a novel robust kinematics control law is developed to steer the vehicle to asymptotically follow the desired trajectories. To compen...

This paper presents a preliminary design and analysis of an optimal energy management and control system for a parallel hybrid electric vehicle using hybrid dynamic control system theory and design tools. The vehicle longitudinal dynamics is analyzed. The practical operation modes of the hybrid electric vehicle are introduced with regard to the given power train configuration. In order to synth...