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This paper proposes the performance comparison for optimal traffic signal controls based on the following two frameworks: M/M/1 and D/D/1 queueing models, and Q-learning approach. Firstly, using the M/M/1 and D/D/1 models, the optimal split derivation has been obtained to minimise the mean waiting time of an intersection. Additionally, the Q-learning framework has been proposed in conjunction with...
In order to optimize pedestrian signal cycle, queuing theory and probability theory were used to build delay model of pedestrian-vehicle system, and then put forward the calculation method of conversion coefficient of pedestrian crowd and vehicles. The delays of pedestrian and vehicle were calculated by equilibrium phase delay formula. The critical volume curves of pedestrian signal for pedestrian...
This paper presented the method of determining critical traffic volume for installing traffic signal based on actual traffic situation in China. Considering the condition that all approach traffic streams have equal right to pass through at some special unsignalized intersections, the model of Motorcade Analysis Method was improved by introducing the lost time of saturated discharging, and then the...
Influence of the leading vehicle to the follower in a single lane traffic flow and stochastic variations of headways lead to the formation of the vehicle platoons. In this paper we use the analogy between single lane traffic flows and single server queueing systems for the analysis of the vehicle platoons. We derive formulas for the mean number of vehicles in a platoon, mean number of subsequent vehicles...
In an urban road network, travel times are not uniquely determined by the traffic states due to stochastic properties of traffic flow, stochastic arrivals and departures at intersections and traffic signal control. As a result, for a given traffic state, a range of travel times (delays) is found. This can be represented by a distribution of travel times (delays). Calibrating a model for the travel...
A new cross layer path selection scheme with quality of service (QoS) support along urban areas is proposed. First, we introduce a cross-layer approach where the routing decision takes explicit consideration of the application layer objective function. Second, the queueing based mobility model, spatial traffic distribution and probability of connectivity for sparse and dense Vehicular Ad-Hoc Networks...
Autonomous vehicle based storage and retrieval (AVS/R) systems offer greater flexibility to improve cycle time and throughout capacity in the transfer of unit loads in high density storage areas. AVS/R systems rely on autonomous vehicles to provide horizontal the movement within a tier and use lifts to provide vertical movement between tiers. In these systems, vehicle interference in the aisles and...
Aimed at the problem of multi-objective optimization, solution on the oversaturated signalized intersection by using fuzzy logic control (FLC) is presented. The essential and characteristics of multi-objective optimization in urban traffic signal control are analysed. The performance measures of minimizing average delay, stop times and average queue length are established, according to the initial...
In this paper we consider two types of car following models: models where the follower maintain safe distance headway and models where the follower maintains safe time headway. We analyze distance delays and time delays, caused by influence of the leading vehicle to the follower. We show that delays satisfy an equation similar to the Lindley equation for the waiting time in the single server queue...
Traffic queuing and delay can't be detected accurately by traditional loop detection due to technical limit. In recent years, video technology has been applied to the traffic control detection, which has a greater deal of information and larger detection area, and therefore, it will bring revolutionary change to the traffic control algorithm. This paper provides discussions on the characteristics...
For urban road network, traffic flow at the intersections is the interrupted traffic flow. Recently, applied mathematics developed hydrodynamic traffic flow models on networks, in which signal timing was not considered. The paper put forward hydrodynamic model for interrupted traffic flow at the intersection, in which entropy condition was delay minimization. Based on this proposed model, we presented...
Delay tolerant network (DTN) based on vehicular communications (i.e., vehicular delay tolerant network or VDTN) is considered in this paper. In VDTN, there is no direct end- to-end connection between the source and destination (i.e., sink). The traffic source transmits data to a mobile router. This mobile router in a vehicle receives and stores data in a buffer. The vehicle can move and once it is...
An accurate prediction of queue length at the intersection has been one of the key issues in implementation of the adaptive signal control systems as well as the bus signal priority systems (BSP). Because of the analytical queueing modelspsila nature, most prediction models have limited in predicting the queue length for longer time interval. This paper develops a multi-time step queue prediction...
In this paper we study a variation of the Dynamic Traveling Repairperson Problem (DTRP) in which there are two classes of demands; high priority, and low priority. In the problem, demands arrive in the environment randomly over time and assume a random location and on-site service requirement. A service vehicle must travel to each demand location and provide the required on-site service. The quality...
Without any doubt the research of VANETs plays an important role in ITS. This paper focuses on reducing the end-to-end delay and the packet loss ratio of the real-time message in VANETs. In this paper, a novel real-time message data packet queue priority algorithm which takes full advantage of the parameters (such as the relative distance, the relative velocity, the relative driving direction between...
Dynamic signal control is considered an effective measure to deal with urban traffic congestion by increasing intersection capacity and decreasing delays at the same time. A hierarchical fuzzy logic controller for urban signalized intersections is developed in this paper. The controller is designed to be responsive to real-time traffic intensities. Vehicle detectors are placed upstream of the intersection...
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