DINO: Roteamento Dinâmico para ITS Considerando Recursos da Rede

Author(s):  
Matheus Bernardino de Araújo ◽  
Matheus Monteiro Silveira ◽  
Rafael Lopes Gomes

Intelligent Transport Systems (ITS) arose as a modern solution to traffic jams and vehicle accidents in the urban environment. A key part of the ITS is Traffic Management (TM), which concerns the planning and route definition of the vehicle. Existing TM solution focuses specifically on urban traffic information, ignoring the issues related to the network infrastructure and the applications at the top of it. Within this context, this paper presents a vehicle routing and re-routing strategy, called DINO, that considers both travel time of vehicles on the roads and the active network flows in the network, aiming to dynamically bring a suitable balance between travel time and packet delivery through a heuristic. The experiments performed suggest that DINO improves the packet delivery of the applications while reduces the average travel time of vehicles.

2021 ◽  
Vol 13 (1) ◽  
pp. 74-88
Author(s):  
Mohammed Mouhcine Maaroufi ◽  
Laila Stour ◽  
Ali Agoumi

Abstract This article highlights the need to rethink how to manage mobility in Morocco more intelligently, given that it is a major pillar of economic competitiveness. Smart mobility based on Intelligent Transport Systems (ITS) allows to improve and ensure the optimal use of existing infrastructure before embarking on heavy and irreversible infrastructure projects. The case regarding the separation of the urban traffic and the Heavy Goods Vehicles (HGV) traffic circulating between Casablanca Port and Zenata Dry Port is a relevant example where smart mobility could provide efficient solutions without building costly tunnels. A dynamic simulation was made using the Aimsun software to quantify the relevance of the proposed lane designated to HGV in the existing road. This simulation allows to visualise congestion sections and quantify the circulation of vehicles and pedestrians. The article presents defined functions and characteristics of the Advanced Traffic Management (ATM) to ensure the optimal operation and efficient setting of the simulation. All appliances, hardware, and sensors that will be set up on-site will help to improve traffic safety, traffic flow, traffic information, and reduce congestion and pollution. This case study illustrates the complexity of managing the flow of goods in cities and suggests how to solve this type of problems using smart mobility. This research proposes reserving a special lane for HGV. ITS will help this cost-optimal alternative, will promote the urban framework of the coastal road, and contribute to sustainable mobility in Casablanca.


Author(s):  
Елена Андреева ◽  
Elena Andreeva ◽  
Кристиан Бёттгер ◽  
Kristian Bettger ◽  
Екатерина Белкова ◽  
...  

The monograph is devoted to the consideration of issues relevant to the vast majority of cities-the organization and management of traffic flows to improve the mobility of the population, increase the speed and reduce the cost of transportation of passengers and goods, reduce the burden on the environment, etc. The book provides an overview of existing models, methods and tools for modeling and managing traffic flows in cities. The author identifies the main modern challenges to sustainable development of urban transport systems, which should be taken into account in the development of urban traffic management system. The authors substantiate the need for a systematic approach in the development of traffic management systems in cities and propose a practical tool for its implementation — an integrated digital platform for urban traffic management. Describes the experience of creation and application of an integrated automated control system of traffic management TransInfo and its improved version RITM, for the city of Moscow. In conclusion, the forecast of further development of research and development in the field of modeling and management of transport mobility is given. The book is of interest to a wide range of readers involved in the modeling and management of traffic flows, experts in the field of transport planning, scientists, engineers, economists and mathematicians, as well as graduate students and engineering students.


2020 ◽  
pp. 64-68
Author(s):  
V. V. Donchenko ◽  
R. V. Filippova

The directions of economic assessment of the costs associated with the time of transport movements of the urban population have been described. It has been shown, that solving the problem of improving the reliability of urban transport leads to saving passengers` time and the possibility of using the resulting savings in a more productive way, therefore, the calculation of the cost estimate of the change in travel time can be taken into account when choosing to implement a particular transport project, to assess the costs and results of public investment or regulatory impacts. A model of economic efficiency evaluation of transport projects, based on accounting of reduction in average travel time of urban population and improving the reliability of transport correspondences of urban transport has been proposed.


2011 ◽  
Vol 105-107 ◽  
pp. 2250-2254
Author(s):  
Xin Sheng Yao ◽  
Jian Hua Qu ◽  
Ji Lai Ying

This paper describes a prototype system based on floating taxi for traffic condition identification. The system consists of in-vehicle hardware units placed in floating taxi and backstage database that process all data send from the report units. The communication between the taxi and the database center is based on a very compact wireless communication protocol. The taxi sample size is decided by the variables: section traffic information update cycle, data sampling interval, section covering ratio. The test in a road section showed that the system is operational which could offer useful reference for urban traffic management and resident trips decision.


Author(s):  
Karthik K. Srinivasan ◽  
Paul P. Jovanis

Several intelligent vehicle–highway system demonstration projects are currently assessing the feasibility of using probe vehicles to collect realtime traffic data for advanced traffic management and information systems. They have used a variety of criteria to determine the number of probes necessary, but few generalizable algorithms have been developed and tested. The described algorithm explicitly considers the time period for travel time estimation (e.g., 5, 10, or 15 min), the number of replications of travel time desired for each link during each measurement period (reliability criterion), the proportion of links to be covered, and the length of the peak period. This algorithm is implemented by using a simulation of the Sacramento Network (170 mi2) for the morning peak period. The results indicate that the number of probe vehicles required increases non-linearly as the reliability criterion is made more stringent. More probes are required for shorter measurement periods. As the desired proportion of link coverage in the network increases, the number of probes required increases. With a given number of probes a greater proportion of freeway links than of major arterials can reliably be covered. Probe vehicles appear to be an attractive source of real-time traffic information in heavily traveled, high-speed corridors such as freeways and major arterials during peak periods, but they are not recommended for coverage of minor arterials or local and collector streets or during off-peak hours.


2017 ◽  
Vol 2017 ◽  
pp. 1-13 ◽  
Author(s):  
Fangfang Zheng ◽  
Xiaobo Liu ◽  
Henk van Zuylen ◽  
Jie Li ◽  
Chao Lu

The importance of travel time reliability in traffic management, control, and network design has received a lot of attention in the past decade. In this paper, a network travel time distribution model based on the Johnson curve system is proposed. The model is applied to field travel time data collected by Automated Number Plate Recognition (ANPR) cameras. We further investigate the network-level travel time reliability by connecting the network reliability measures such as the weighted standard deviation of travel time rate and the weighted skewness of travel time rate distributions with network traffic characteristics (e.g., the network density). The weighting is done with respect to the number of signalized intersections on a trip. A clear linear relation between the weighted average travel time rate and the weighted standard deviation of travel time rate can be observed for different time periods with time-varying demand. Furthermore, both the weighted average travel time rate and the weighted standard deviation of travel time rate increase monotonically with network density. The empirical findings of the relation between network travel time reliability and network traffic characteristics can be possibly applied to assess traffic management and control measures to improve network travel time reliability.


2016 ◽  
Vol 9 (6) ◽  
pp. 103 ◽  
Author(s):  
Hosea Mpogole ◽  
Samira Msangi

Inadequately planned transport systems result to traffic congestion, a challenge that has for long been a thorn in Dar es Salaam, the city most affected in Tanzania. Although traffic congestion has been a major concern in Dar es Salaam, marked reluctance has been noticed in taking measures towards a lasting solution thus, it is of diminutive surprise that limited studies and documentations on the same are in existence. Therefore, this study assesses traffic congestion in Dar es Salaam and particularly its implications for workers’ productivity. Travel time and productivity indexes were established from a sample of 96 workers who used public transport along Morogoro and Mandela Roads. Travel time index (TTI) is the ratio of the average travel time during peak period to the travel time during off-peak period. Findings reveal that TTI was 2.19. Workers spent about 2 times of the average commuting time to work and 3 times of the same commuting from work to their various residences. About 2.5 hours were lost on traffic jam per day and that people worked 1.4 times less than the required time due to traffic congestion. It was further established that in 10 working days, almost 3 days were lost to traffic congestion. Since there are ongoing efforts to improve the transport system through the Bus Rapid Transit (BRT) project, it remains to be seen as to what extent traffic congestion will be reduced. In either case, this study provides a benchmark for comparisons.


2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Tangyi Guo ◽  
Jie Yang ◽  
Liu He ◽  
Kun Tang

The rapid development of bike sharing has posed some challenges to the traffic management on campus. The bike sharing on campus has problems such as messy parking, and some buildings in the peak hours have no bikes to borrow. Thus, alternative parking spots are proposed based on the layout principle of parking spots for bicycles. An optimization model of the layout of campus bike-sharing parking spots with travel time and construction cost as the optimization goal is established, and the branch and bound algorithm is used to solve the model. Finally, the study analysis is carried out by optimizing the layout of the bike-sharing parking spot of Nanjing University of Science and Technology. The results show that, after optimizing the layout of parking spots, the average travel time of users is reduced by 6.0%, and the total construction cost is reduced by 27.3%. While being convenient for campus bike-sharing users, it also provides scientific decision-making support for the campus traffic management.


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