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The deployment of Intelligent Transportation Systems (ITS) is a challenge for industry and scientific community. Traffic characteristics change widely within a single day, therefore, ITS engineers and researchers must deal with that dynamic behavior. On the other hand, once the ITS depends on networking services, specific studies are required to consider the communication parameters along with vehicle...
In this paper, we present a discrete event simulation model of the Viennese subway network with capacity constraints and time-dependent demand. Demand, passenger transfer and travel times as well as vehicle travel and turning maneuver times are stochastic. Capacity restrictions apply to the number of waiting passengers on a platform and within a vehicle. Passenger generation is a time-dependent Poisson...
Effective management of land-side transportation provides the competitive advantage to port terminal operators in improving services and efficient use of limited space in an urban port. We present a hybrid simulation model that combines traffic-flow modeling and discrete-event simulation for land-side port planning and evaluation of traffic conditions for a number of what-if scenarios. We design our...
This paper proposes a discrete event model for controlling railway traffic in order to minimize transport time and, implicitly for optimizing fuel/energy consumption. We built a modular approach for solving the traffic coordination issue, respectively we built three Petri net models for modeling and simulating, respectively the transport planning process; the control of transport itinerary; and the...
Multi-modal transportation planning refers to traffic analysis that considers various modes of transportation mechanisms such as walking, cycling, motorcycles, private passenger vehicles, delivery cargo vehicles, public transportation modes like buses or trains, etc. Effective city traffic planning has become a challenging task involving complex behavioral analysis of multi-modal traffic scenarios...
In the last decade many companies have recognized that important cost savings and improved service levels can be achieved by effectively integrating production plans, inventory control and transportation policies throughout their supply chains. In this paper, an integrated multi-commodity production and distribution planning model is presented. A proposed Mixed Integer Programming (MIP) model is developed...
Large cities face growing mobility problems, due to the major traffic jams that result from high numbers of vehicles on the roads. In response, city and national governments have invested in alternative means of urban passenger transit, such as subways, trains, as well as Bus Rapid Transit (BRT). This article aims to analyze the BRT system, by attempting to calculate the probability of reaching a...
The aim of this paper is to find the optimal location of electric vehicle (EV) fast charging stations by means of two methodologies: a classical flow-capturing optimization model involving only mobility needs, and an advanced flow-capturing optimization model including distribution network and location costs. While the first model aims to maximize the public service provided by the fast charging stations,...
Shipment planning (SP) at regional distribution center (RDC) involves order consolidation and vehicle routing decisions under uncertain demands, which is generally very hard to be solved by traditional analytical methods such as mathematical programs. To cope with the complexity of this important problem existing in logistics systems, a general-purpose simulation optimization framework is proposed...
Large-scale regional evacuation is an important component of homeland security emergency response planning; however, evacuations involving large commercial shopping areas have not been a major focus area for research initiatives. This paper presents microscopic simulation methods for modeling large scale evacuations within the context of a case study involving the evacuation of parking lots within...
Cost issues have been an important concern in the development of Personal Rapid Transit (PRT) since the concept was developed several decades ago. The lightweight, computer-guided electric vehicles operating the PRT system are generally a major part of the capital cost of the system, especially in larger network with high demand. A sufficient number of empty vehicles are needed to be moved to the...
This paper presents a comprehensive method for evaluation of traffic movement organization planning which considers the impact to the environment. The latest studies indicated that the traffic management and control strategies with an objective to mitigate traffic congestions and with an objective to reduce traffic emissions are usually different and sometimes conflictive, so it is essential to consider...
This paper focused on the influence factors and the demand willingness to investigate choice behavior of Park and Ride, use disaggregated model to analysis the influence factors’ importance of Park and Ride, bring forward that the main factors influence Park and Ride choice behavior are passive factors such as road traffic congestion, lack of parking space etc. Then basic on willingness analysis to...
The objective of this paper is to study the toll standard of regional expressway network so as to optimizing traffic assignment and consequently reducing the holistic cost of the network. Based on Wardrop's principles and expense analyses, a function called generalized expense model is brought forward to calculate the optimal toll rate. Genetic algorithm (GA) is applied to solving the model according...
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