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Once vehicles start to be driven automatically, people expect the driving routing is automatically and optimally selected. Supposing all the vehicles are navigated by a single system in the future, the navigation system will be able to provide instructions to each vehicle based on the evaluated near-future traffic information while the current navigation system frequently updates the routing based...
Shift schedule affects the optimal performance of engine and driving directly. In this paper, the optimal controller of shift schedule for Dual Clutch Transmission (DCT) is designed based on fuzzy algorithm, because there are the problems of the unexpected shift and the frequent shift in some accidental operation conditions. The throttle opening and the change rate of throttle opening are chosen as...
We proposed and developed a taxi-sharing system that accepts taxi passengers' real-time ride requests sent from smart phones and schedules proper taxis to pick up them via ride sharing, subject to time, capacity, and monetary constraints. The monetary constraints provide incentives for both passengers and taxi drivers: passengers will not pay more compared with no ridesharing and get repayment if...
Transit signal priority (TSP) is a cost-effective way to improve transit system punctuality and efficiency. Connected Vehicle environment can provide precise and detailed information on vehicle movements, which is essential for effective TSP operation. This paper presents an integrated control strategy of TSP and speed guidance under the environment of Connected Vehicles. The strategy targets on buses...
Big cities have to deal with the movement of thousands of vehicles that traverse through their streets every day. As traffic demand increase undesirable problems emerge including traffic congestion, which is becoming more serious day after day. Traffic congestion is an inherently difficult concept resulting to incrementally higher delays, pollution emissions, fuel waste and non-predictable traveling...
The problem of controlling traffic lights under adaptive routing of vehicles in urban road networks is considered. Multi-commodity back-pressure algorithms, originally developed for routing and scheduling in communication networks, are applied to road networks to control traffic lights and adaptively reroute vehicles. The performance of the algorithms is analyzed using a microscopic traffic simulator...
The regulation of a traffic public transport is a complex task, especially when we want to find a good regulation on a real time in case of appearance of simultaneous disturbances. Indeed, regulator like decision maker has to carry out difficult tasks that are often inaccessible at the human scale, which involves the assistance of a decision support system. This paper gives effective solutions to...
In this paper, we propose a two-layered parking lot management system for charging scheduling of electric vehicles (EVs) considering a realistic vehicular mobility pattern. EVs are categorized in two groups based on their mobility patterns: Regular EVs and Irregular EVs. We use the data from an vehicular mobility trace collected from the Canton of Zurich for the regular EVs and a probabilistic pattern...
Traffic signals are essential to guarantee safe driving at road intersections. However, they disturb and reduce the traffic fluency due to the queue delay at each traffic flow. In this work, we introduce an Intelligent Traffic Light Controlling (ITLC) algorithm. This algorithm considers the real-time traffic characteristics of each traffic flow that intends to cross the road intersection of interest,...
When it comes to taking the public transportation, time and patience are of essence. In other words, many people using public transport buses have experienced time loss because of waiting at the bus stops. In this paper, we proposed smart bus tracking system that any passenger with a smart phone or mobile device with the QR (Quick Response) code reader can scan QR codes placed at bus stops to view...
Traffic chaos is increasing by the day in cities around the world, and especially in developing countries, due to rapid increase in the use of private vehicles. One reason for this trend is the lack of information about commuting choices possible with the existing public transportation network. Although schedules of individual modes may be available, they are not amenable to direct analysis and furthermore,...
In this paper, a real-time vehicle management system was proposed to plan and schedule vehiclespsila optimum routings using real-time information in logistics or distribution services. Three technologies were adopted for monitoring real-time situation and providing visualized interface, including radio frequency identification, geographical information system, and global positioning system. A real-time...
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