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In recent years, the UBAC has seen severe traffic congestion, resulting in various environmental and traffic problems at the university and its environs. This congestion was due to the significant expansions in buildings andan increase in the number of colleges in addition to the extensive use of private transport modes by students and university employees. This research was an attempt to find a solution...
Sporting events concentrate people in facilities on game day. No evidence currently exists linking sporting events to traffic conditions. We analyze urban mobility data from 25 metropolitan areas with Major League Baseball (MLB) teams over the period 1990–2014. MLB‐related travel accounts for at most 0.5 percent of annual metropolitan area vehicle‐miles traveled (VMT). Instrumental variable regression...
Nowadays, our streets and highways are growing in traffic congestion as large number of cars are entering the transportation system due to rise in population. The high volume of vehicles and numerous signalized intersection the traffic congestion is causing huge problems to schedule reliability. As transportation demand is increasing various road networks are facing increasing congestion. To mitigate...
Based on the full velocity difference car-following model, an extended car-following model is presented by considering drivers' timid or aggressive behavior. Applying linear analysis theory, the stability condition of the traffic flow is obtained. Through the nonlinear reductive perturbation method, the mKdV equation is derived to describe the propagating behavior of traffic density waves near the...
This research corresponds to a first phase of study on the search of the main causes that generate vehicular traffic in the Metropolitan District of Quito and approaching potential application I.3 through the use of intelligent systems based on social networks and sensorial data using Big Data. So the current situation of the city is analyzed as well as the problem that traffic represent for Quito,...
This paper presents a Geographic Information System (GIS) based Short-term Transportation System Management (TSM) measures for reducing traffic congestion. Short-term TSM measures such as (i) One-way Street System, (ii) Intersection Improvement (iii) Parking Management System and (iv) Restriction of Truck Movement in CBD Area are considered in this study. Many applications of GIS in Transportation...
Traffic congestion frequently occurs at main roads in Japan. Traffic congestion causes economic loss and makes energy efficient worse. Therefore untying traffic congestion is required. In Japan, vehicle information and communication system (VICS) is famous for a congestion avoidance system. However, VICS depends on infrastructures. On the other hand, vehicle ad hoc networks (VANETs) are independent...
The combination of Radio Frequency Identification (RFID) and Intelligent Transportation System (ITS) makes the Electronic Toll Collection (ETC). On one hand, ETC can help the recovery of the investment in transport infrastructure. On the other hand, it is also an effective way to ease traffic congestion in the charging station area, thus reducing environmental pollution. So nowadays, many countries...
Traffic congestion has become a major problem in today's society. It may cause a great waste of material and human casualties. We think the fixed-time-state traffic light control scheme is one important reason. An intelligent traffic light control scheme is necessary in order to give a solution to this problem. The paper proposes a model to describe a road cross. In terms of dynamic and real-time...
In order to improve the efficiency of the expressway and solve the problem of traffic congestion, this paper introduces the HOV lanes, and a comprehensive evaluation model for HOV lanes was established with the analytic hierarchy process taking into account the facts such as the efficiency of transport operations, resources and environment, and economic and financial. Specific road section was selected...
The scientific field of mobility management receives greater attention as traffic congestion and its severe effects cannot be dealt in an effective way. This mainly occurs in urban areas. How are these issues handled in regions, mainly touristic, where the seasonal variations of transport demand need a different approach? The DELTA project addresses the problems and needs of regions experiencing seasonal...
Increasing traffic congestion is a major problem in urban areas, which incurs heavy economic and environmental costs in both developing and developed countries. Efficient urban traffic control (UTC) can help reduce traffic congestion. However, the increasing volume and the dynamic nature of urban traffic pose particular challenges to UTC. Reinforcement Learning (RL) has been shown to be a promising...
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...
Transit Metropolis is a model of urban currency in terms of energy conservation and highly active. Moreover, to realize this imagine must rely on choosing the public traffic trip intelligently at first. In Guangzhou, there are many reasons to affect the public traffic trip; thereinto, the uppermost are traffic congestion, inconvenient transfer, and high tripping fare. Therefore, the paper replan and...
Motor vehicles consume a big share of the world's oil supply. They are, also, the major source of pollution to the surroundings. Efficient designs, alternative fuels and rational transportation systems can help solve the problem. In Libya, the rapid increase in the use of the private vehicles has resulted in increased traffic congestion, accidents, inadequate parking space and air pollution, among...
Traffic congestion, high gas price and inadequate public transportation are major challenges for any country, business or individual. The traditional approach to solving these problems has been to improve public transportation and use greener energy. These approaches require huge investment, research and time, and can only be carried out by governments or businesses. An alternative solution seeks...
Transit vehicle reasonable dispatching is very important to solve the congestion of traffic. Artificial neural network is the common dispatching method, among which RBF neural network is a feed-forward neural network with one hidden layer, which can uniformly approximate any continuous function to a prospected accuracy. In RBF neural network, the choice of the widths and centers of the Gaussian function,...
This paper proposes a novel method for a dynamic ridesharing mechanism using the combination of several modern information and communication technologies. The increased personal usage of automobiles has caused several undesirable consequences. Waste of time, fuel and effort due to traffic congestion and scarcity of parking areas are the most obvious. Ride-sharing for routine travelling has been an...
This paper demonstrates the Necessity and Feasibility of Rail Transit Based City Logistics in Beijing. The urban roads of Beijing have heavy burdens for there are too many vehicles. And the pollution in Beijing is serious for the emissions of the vehicles. There is developed metro system in Beijing and the metro system is not made best use. If the metro system is used in urban delivery too, many benefits...
This paper presents a system entropy model for optimizing the number of tollbooths at highway toll plazas. Highways usually experience severe traffic congestion/jams at toll plazas since vehicles need to stop and wait for toll collection. It is noted that the number of tollbooths directly influences the traffic congestion. In order to obtain the optimal number of tollbooths, the concept of system...
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