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The increasing number of vehicles nowadays makes traffic congestion problems, inefficient traffic management cannot solve the jam at intersection. In this paper, we propose an intelligent traffic control scheme which uses the dynamic traffic information. An improved algorithm is given to choose phase matrices for short-term throughput maximization by allocate more durations of green-sign to those...
Ridesharing has become one of the most attention-grabbing trends in modern transportation recent years. This paper studies traffic efficiency improvement and comfort of passengers in ridesharing systems in smart cities. We introduce several improvement methods, and some tradeoffs involving comfort in ridematching strategies. The traffic efficiency can be improved with preserving the service level...
the increasing number of vehicles nowadays makes it hard to manage traffic flow on the streets, especially when it comes to intersection management. This paper proposes the use of dashboard traffic lights (DTL), an intelligent traffic light system based on client-server communication that will give each vehicle a decision based on the speed and direction of the vehicle. This system can be used for...
The increasing number of vehicles nowadays makes it hard to manage traffic flow on the streets, especially when it comes to intersection management. This paper proposes the use of dashboard traffic lights (DTL), an intelligent traffic light system based on client-server communication that will use V2I (Vehicle-to- Intersection) network scheme to send request messages from moving vehicles to the intersection...
Electric vehicle (EV) is a promising transportation with plenty of advantages, e.g., low carbon emission, high energy efficiency. However, it requires frequent and long time charging. In public charging stations, EVs spend long time on queuing especially during peak hours. Hence, it requires an efficient method to reduce the total charging time for EVs. We study the Electric Vehicle Charging-Scheduling...
Understanding the human behaviors in driving is a highly complex topic but on the other hand, extremely important for improving human's driving competence by developing driver assistant systems accordingly and finally accomplishing fully autonomous vehicles and road systems. There are many excellent researches in this area for decades. However, by building a comprehensive system to evaluate human...
In this article, we focus on a typical application of Cyber Physical System (CPS), i.e., vehicle route navigation. Two fundamental problems have been examined: 1) How different are various vehicle routing algorithms? 2) How valuable is real-time traffic information or historical traffic information in helping vehicle routing? Different from most previous works based on simulations, we presented performance...
Bus lane enforcement system aims to monitor illegal utilization of bus lane by non-permitted vehicles (violator). However, Road-side system leads to considerable infrastructure cost while bus mounted system has limited surveillance coverage. In this paper, we consider an interesting problem in bus mounted system: how to improve the surveillance coverage of bus mounted system without additional infrastructure...
In this paper, we present our study of extracting a mobility model for vehicular ad hoc networks (VANETs) from a large amount of real taxi GPS trace data. In order to capture characteristics of the urban vehicle network from microscopic to macroscopic aspects, we design three parameters and extract their values from the GPS trace data. Using this mobility model, we can generate the synthetic trace...
We present a mobile sensor system for traffic monitoring (GSSTM), which is a typically Grid application in ShanghaiGrid to provide accurate realtime traffic status information. Several issues and challenges in GSSTM are discussed, such as Grid architecture design, data processing for traffic status estimation, storage strategy of massive data, etc. We implemented a prototype system of GSSTM and carried...
The existing vehicular sensors of taxi companies in most of cities can be used for traffic monitoring, however sensors are always set with a long sampling interval because of communication cost saving and network congestion avoidance. In this paper, we focus on the traffic data processing in vehicular sensor networks providing sparse and incomplete information. A performance evaluation study has been...
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