DETERMINING SMART INTERSECTIONS FOR SMART CITY APPLICATIONS USING MULTI-CRITERIA DECISION-MAKING TECHNIQUES

Urbanization process occurs unprecedentedly all round the world. Increase in population accompanies energy need, environmental issues and transportation problems. In order to manage urban growth which causes complication and to enhance the quality of life, we need to find new solutions. During the recent years, smart cities which solve their problems become popular thanks to integration between reformed technology and expanding cities. Primarily, it requires that smart city should be effective spatially. Due to these reasons, to have an investment to the area of requirement properly is extremely important with regard to cost and recovery in order to benefit from smart city applications ultimately and also to achieve high efficiency from this high budget investment. In this study, the criteria affecting the location of the intersections where the smart intersection system will be applied according to the current situation in Kayseri province by using the multi-criteria decision making method were examined. With these effective solutions, smart transportation will provide high functionality and a more efficient flow. At the same time, this study will help decision-makers in planning and investments.

Simulation of queue with cyclic service in signalized intersection system

The simulation was implemented by modeling the queue with cyclic service in the signalized intersection system. The service policies used in this study were exhaustive and gated, the model was the M/M/1 queue, the arrival rate used was Poisson distribution and the services rate used was Exponential distribution. In the gated service policy, the server served only vehicles that came before the green signal appears at an intersection. Considered that there were 2 types of exhaustive policy in the signalized intersection system, namely normal exhaustive (vehicles only served during the green signal was still active), and exhaustive (there was the green signal duration addition at the intersection, when the green signal duration at an intersection finished). The results of this queueing simulation program were to obtain characteristics and performance of the system, i.e. average number of vehicles and waiting time of vehicles in the intersection and in the system, as well as system utilities. Then from these values, it would be known which of the cyclic service policies (normal exhaustive, exhaustive and gated) was the most suitable when applied to a signalized intersection system

Facility-Optimizing Plan for Intersection System Based on Intelligence Traffic Management Technique

In order to improve bandwidth utilization and reduce maintenance costs of each system equipment of fast road/highway on Beijing second ring road intersection, the article proposes a countermeasure of using integrated system equipment access method to optimize Beijing fast road/highway on intersection. Compared to the original integrated system equipment access method, this method can effectively improve the bandwidth utilization of the system equipment about 35% and save the cost about 68.1% based on maximum effective retaining the original system equipment.

Signal Coordination and Arterial Capacity in Oversaturated Conditions

Models for estimation of the capacities of oversaturated arterials were developed. The input variables in these models are capacities of individual intersections, offsets, and vehicle queue lengths. Models for quantification of capacity loss due to blockage caused by downstream queues are also presented. The proposed models show that when arterial capacity is determined in oversaturated conditions, it is not sufficient to consider only the capacities of critical intersections; instead, the capacities of critical subsystems must be considered. A critical subsystem is any two intersections plus the link that joins them where traffic processing capability is the lowest. This traffic processing capability, or critical subsystem capacity, determines the arterial capacity. It is a function of the capacities of the respective intersections, the offset between them, and the queue length on the link joining them. It is shown that a critical subsystem is not unique in that it may change location over the course of the study period. To minimize capacity loss, it is shown that offsets must be an explicit function of queue lengths. The practical use of the models was demonstrated for an oversaturated two-intersection system. The results show that improper setting of offsets can lead to significant capacity loss. In extreme cases all capacity in a given cycle may be lost if the offsets are not set properly.