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It is urgent to study disaster-relief ability of urban transportation system (UTS) when uncontrollable and often unforeseen events (disasters) occur. To evaluate the capability of UTS relieving disaster effectively, evaluation index system composed of personnel, facilities, traffic system and management system is constructed. This paper proposes a comprehensive assessment model based on fuzzy analytical...
The proposed work presented a modified MAX-MIN Ant System (MMAS) algorithm to solve the routing problem, in which known demand are supplied from a store house with parallel routes for new local search. Routing Problem is an optimization problem and solved to nearly optimum by heuristics. The objective of routing issues is to use a fleet of vehicles with specified capacity to serve a number of users...
A novel real number encoding method of Particle Swarm Optimization (PSO) for Vehicle Routing Problem is proposed. Objective is to solve the vehicle routing problem with fuzzy demands (FVRP), in FVRP, a fuzzy chance constrained program model is designed, based on fuzzy credibility theory. numerical experiments are carried out, and the algorithm is compared with other heuristic methods for the same...
Urban eco-transportation system is the development direction of urban transportation system; urban traffic mode structure is an all-important factor that affects the realization of it. Despite a voluminous empirical research of traffic mode structure, most of them have failed to adequately consider the ecology problem. On the basis of satisfying all requirements of eco-transportation system, and according...
Location Set Covering Problem (LSCP) is a traditional problem in the location literature. LSCP is used in locating fire stations, computer networks, and many other service facilities. This paper proposes a covering problem with variable radii. In this problem, the cost to establish a facility is a monotonically increasing function of distance to the farthest covered node by the facility. The problem...
This paper deals with a new class of Markov Chain type models that can be effectively used for real time modeling and on-line learning of nonlinear systems with uncertainties. We expand the concept of the generalized Markov Chain - a probabilistic model that synergistically combines the idea of transition probabilities with the information granulation paradigm. We consider generalized Markov chains...
The esearch of traveling salesman problem is important to material transportation. There are many stochastic disturbance factors affecting material transportation in real activity, so that the result objectivity based on disruption and recovery theory and rotation algorithm to traveling salesman problem is low. In consideration of stochastic factors and fuzzy factors influence on material transportation,...
The vehicle routing problem with fuzzy demand at nodes is considered in this paper. The fuzzy possibility calculation approaches are presented to determine the preference strength to send the vehicle to next node, and the hybrid heuristics is proposed to determine a set of vehicle routes that minimizes vehicle number and total costs. Finally the computational results are presented to show the high...
This paper presents a genetic algorithm coordinated by fuzzy rule models to solve the vehicle routing problem with time windows. The fuzzy rule-based coordinators play distinct roles during the genetic algorithm execution. The aim is to trade-off exploration and exploitation behavior for route and distance minimization. Experimental results using classic benchmark test instances suggest that the fuzzy...
In view of the difficulty to evaluate urban public transport in an objective, comprehensive and accurate manner, an index system and its hierarchical structure for urban public transport evaluation are developed and a mathematical model established by way of the multi-factor hierarchical fuzzy evaluation to engage in comprehensive evaluation of urban public transport. A case study is conducted over...
In order to availably utilize taxi GPS data with low frequency and precisely estimate the average link travel time (ALTT), an estimation approach of ALTT and Improved Map-matching algorithm was proposed. After analyzing upstream and downstream intersections of link particularly, more accurate estimates the moment of a vehicle through the intersection. Using the time difference of upstream and downstream...
Because of the highly nonlinear of the Traffic flow prediction, it is very difficult to build its model. In this paper an algorithm which is based on fuzzy time series forecasting, is used to overcome the difficulty. And we use Coil-based virtual video detectors detect the traffic flow as a input of fuzzy time series prediction, this can make the historical data collection faster and more accurate...
This work describes the method of quality evaluation of cargo transportation based on the complex system of interrelated and interactive management components. The quality of the transportation service of the enterprises mostly depends on the conformity of the vehicles design to its operation conditions, nature of the transportation process, and convenience of loading and unloading works execution...
In this paper, the vehicle routing problem with fuzzy demands is considered, and in view of vehicle routing problem of multi-vehicle single cart yard has uncertain demand, a multi-objection fuzzy chance constrained program is designed based on fuzzy credibility theory. Then the hybrid genetic algorithm based on fuzzy simulation is given to solve the vehicle routing model. At the same time, the influence...
It is essential to do the evaluation on road passenger transportation enterprise's industrial safety impersonally, scientifically and rightly at present in order to reduce the traffic accident in China. This article establishes the industrial safety evaluation index system for road passenger transportation enterprise based on the rule of ministry of transport of the People's Republic of China and...
Transport logistics and fleet management problems often fall into one class of the optimization problems. Finding an optimal set of routes for a group of vehicles in the transportation network under defined constraints is known as the Vehicle Routing Problem (VRP). In this paper, we propose a novel hybrid uncertain approach, in which first considers a capacitated VRP whose demands are assumed to be...
Linear regression has been used for many years for forecasting in marketing, management, sales and energy. In this paper, a fuzzy-based approach is applied for the transport energy demand forecasting using socio-economic and transport related indicators. This forecasting is analyzed based on gross domestic product (GDP), population and the number of vehicles together with historical energy data from...
The risk of vehicle availability can be grown up rapidly while the complexity on vehicle supportability is extended. Therefore this paper introduces the fuzzy approximation relations and VPRS (variable precision rough set) theory precisely. Moreover the paper studies an example, includes indexes establishment on availability risk, the data acquiring method, decision-making rules extraction and verification...
To solve the vehicle scheduling sever problem under fuzzy information, the paper takes vehicle's fuzzy travel time and customer's fuzzy due time as fuzzy information parameter and uses the method of subdividing the customer's class to absorb the carriers' knowledge system, builds two deciding-making goals of logistic enterprises' utility maximization and customers' s utility maximization to two kinds...
In this paper, the multiple-depot vehicle routing problem with fuzzy demands is considered, on the basis of uncertain demand of multiple-depot vehicle routing problem, a fuzzy chance constrained program is designed based on fuzzy credibility theory. Then the hybrid genetic algorithm based on fuzzy simulation is used to solve the vehicle routing model. In genetic algorithm, a new code is given, and...
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