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Online simulation of traffic can assist route guidance systems by predicting problems such as congestion. Accurate predictions require accurate status information about vehicles - the fact that the vehicles are distributed over large-scale road infrastructure makes this particularly challenging. Embedding the online simulation in the road infrastructure - by distributing it across road side computing...
Accurate and precise prediction of traffic variables such as speed, volume, density, travel time, headways etc. is important in traffic planning, design, operations, etc. Short term prediction of these variables plays a very important role in Intelligent Transportation Systems (ITS) applications. Under Indian scenario, this short term prediction of traffic variables has gained greater attention with...
A hierarchical multiobjective model based predictive control approach is presented for solving a dynamic pickup and delivery problem. The hierarchical multilayer structure of the system is used to decompose the optimization problem into smaller but more tractable subproblems. In the bottom layer, the dispatcher (re)routes the vehicles when a new request appears, and minimizes user and operator costs...
In order to improve efficiency of the expressway and solve the problem of traffic congestion, the idea of HOV lanes is introduced in this paper and based on the multinomial logit model the passenger transit mode prediction model is established in the case of the HOV lanes for the expressway set. The options set choose the car of one passenger, the car of two passengers, the car of more than two passengers...
Real-time transportation models are proven to be highly useful for traffic management and generation of traveler guidance information. The current state of the practice in real-time transportation modeling is represented by DynaMIT, which generates consistent anticipatory information about the future state of the transportation network based on current real-time data. DynaMIT has been effectively...
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...
A 5DOF model for heavy semi-trailer combination was contrasted with an 8DOF model through dynamic analysis. The 5DOF model was applied because it can satisfactory predict the risk of future rollover and improve calculation speed of system, and its following performance is very perfect. An algorithm of real-time Time-To-Rollover (TTR) rollover warning based on the model and optimal active control strategies...
This research involves a study of the existing carsharing services in Singapore. In this paper, a novel method to forecast and relocate vehicle resources for carsharing services was proposed. The idea is adapted from a model of logistical inventory management. The proposed model consists of three main components, i.e., focus forecasting, inventory replenishing, and microscopic traffic simulation....
Passenger information systems about bus arrival at bus stops, which is an integral part of any advanced public transportation systems (APTS) application, is catching the attention of traffic engineers in India in recent years. APTS, by making the public transport system more attractive, will encourage people shift from personal mode to public mode for their transport, thus relieving congestion. There...
This paper is focused on the Dynamic Vehicle Routing Problem with Time Windows (DVRPTW) in the context of real-time traffic information. The travel times are based on a time-dependent model in which the travel speeds are step functions. This model is enriched with an exponential smoothing function able to calculate the forecasted speed. This new model of travel times is used by on-line genetic algorithm...
The Urban Public Transportation Information Service System, for the bus arrival time showed on the intelligent electronic station board, is designed to provide accurate and timely information which can help travelers choose transit lines and the shortest paths, can improve the travel efficiency and attract more potential travelers. However, the current bus arrival time prediction model under application...
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...
Congestion has become a serious problem in the context of urban transport around the world. As more and more vehicles are being introduced into the urban streets every year, the mode share of the public transportation sector is declining at an alarming rate. Particularly in developing countries, more people have moved to personalized mode since it is becoming easily affordable and the quality of service...
Ecological driving aiming at optimizing energy consumption is highly desirable for sustainable intelligent transportation systems. This paper presents a unique development of ecological vehicle driving system in model predictive approach. The vehicle's fuel consumption model and the model based anticipation of future road-traffic situations are used in this rigorous reasoning approach of deriving...
With the rapid development of the increasing urban traffic demand, the road traffic congestion problems become serious matter. Traffic congestion not only increases the time of travel delay, but also wastes a lot of money. This paper introduces an urban traffic congestion dynamic predict method based on advanced fuzzy cluserting model. Moreover, the paper puts forward the warning measures based on...
Large numbers of moving objects and continuous queries characterize moving object environments. Efficient evaluation of these queries in response to the movement of the objects is important for supporting acceptable response times. In such environments, the traditional approaches suffer from the need for frequent updates and thereby results in poor performance. In this paper we present a novel approach...
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