Abstract
As the number of vehicles grows, cities around the world face serious road traffic congestion problems. One solution is the introduction of bus traffic with intelligent traffic light control. Travel time in an urban area consists of driving time and dwelling time. To analyze the effect of traffic light, data was collected from two sources: GPS bus locations and traffic light system. Travel time in an intersection depends on the arrival time on the traffic light sequence
and other traffic. The traffic light on the selected segment utilizes bus priority. Comparisons with bus priority and without were carried out. Bus priority in the intersection causes a slight decrease on travel time and removes some of the larger waiting times. Bus arrival time on the traffic light sequence is random. In this paper travel time of buses through an intersection with bus priority is analyzed.
and other traffic. The traffic light on the selected segment utilizes bus priority. Comparisons with bus priority and without were carried out. Bus priority in the intersection causes a slight decrease on travel time and removes some of the larger waiting times. Bus arrival time on the traffic light sequence is random. In this paper travel time of buses through an intersection with bus priority is analyzed.
| Original language | English |
|---|---|
| Title of host publication | ITS World Congress 2015 Proceedings |
| Subtitle of host publication | Towards Intelligent Mobility – Better Use of Space |
| Number of pages | 10 |
| Publication status | Published - 2015 |
| Publication type | D3 Professional conference proceedings |
| Event | ITS World Congress - Duration: 1 Jan 1900 → … |
Conference
| Conference | ITS World Congress |
|---|---|
| Period | 1/01/00 → … |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
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SDG 11 Sustainable Cities and Communities
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