scholarly journals Building Optimal Routes for Cargo Delivery in Megacities

2019 ◽  
Vol 20 (2) ◽  
pp. 142-152 ◽  
Author(s):  
Viktor Danchuk ◽  
Olena Bakulich ◽  
Vitaliy Svatko
Keyword(s):  
Road Network ◽  
Ant Algorithm ◽  
Traffic Flows ◽  
Traffic Jam ◽  
Urban Road ◽  
Emergency Situations ◽  
Efficient Management ◽  
Cargo Delivery ◽  
Delivery Routes ◽  
Transportation Routing

Abstract The main purpose of the study is to develop a method based on the modified ant algorithm and demonstrate the applicability of its use for building of optimal cargo delivery routes, taking into account the real (non-stationary) dynamics of highdensity traffic on the urban road network in megacities. Within the framework of the proposed method the simulation of building optimal routes, by the example of Kiev, was carried out. The results of study indicate the possibility of using the method for the solution to the problems of efficient management of the freight transportation routing process in the conditions of real dynamics of traffic flows (dense traffic, traffic jam, emergency situations, etc.).

scholarly journals Building optimal routes for cargo delivery taking into account the dynamics of traffic flows

2019 ◽  
Vol 259 ◽  
pp. 01001
Author(s):  
Viktor Danchuk ◽  
Olena Bakulich ◽  
Vitaliy Svatko
Keyword(s):  
Road Network ◽  
Effective Control ◽  
Ant Algorithm ◽  
Traffic Flows ◽  
Urban Road Network ◽  
Urban Road ◽  
Emergency Situations ◽  
Freight Traffic ◽  
Cargo Delivery

A method for optimizing the route based on a modified ant algorithm is proposed, taking into account the unsteady dynamics of traffic flows in the urban road network. Within the framework of the method, simulation of the building of optimal routes was carried out using the example of Kyiv. It is shown the possibility of using the method for solving problems of effective control over the process of routing freight traffic in conditions of actual dynamics of traffic flows (synchronized traffic, wide moving jam, congestion, emergency situations, etc.)

scholarly journals MODELLING TRAFFIC FLOWS USING GRAPH THEORY

2010 ◽  
Vol 2 (6) ◽  
pp. 86-89
Author(s):  
Oksana Musyt ◽  
Oksana Nadtochij ◽  
Aleksandr Stepanchiuk ◽  
Andrej Beljatynskij
Keyword(s):  
Graph Theory ◽  
Network Optimization ◽  
Road Network ◽  
Traffic Accidents ◽  
Road Transport ◽  
Traffic Flows ◽  
Urban Road ◽  
The Road ◽  
Traffic Jams ◽  
On The Road

An intensive increase in road transport, particularly individual, in recent years has led to such consequences as increased time spent on travel, the number of forced stops, traffic accidents, the occurrence of traffic jams on the road network, reducing traffic speed and a deteriorated urban road network in cities. The most effective method for solving these problems is the use of graph theory, the main characteristics of which is reliability, durability and accessibility of a free as well as loaded network. Based on their analysis the methods for network optimization are proposed.

scholarly journals Recurrent and Non-recurrent Congestion Based Gridlock Detection on Chula-SSS Urban Road Network

10.29007/cxkb ◽  
2019 ◽  
Author(s):  
Ei Ei Mon ◽  
Hideya Ochiai ◽  
Chaiyachet Saivichit ◽  
Chaodit Aswakul
Keyword(s):  
Traffic Congestion ◽  
Road Network ◽  
Road Networks ◽  
Weather Conditions ◽  
Road Maintenance ◽  
Urban Road Network ◽  
School Buses ◽  
Traffic Jam ◽  
Urban Road ◽  
Negative Impacts

Traffic congestion on not only highways but also complex urban road networks has attracted the attention of many researchers. Traffic congestion growing in urban road net- works is an inevitably important problem especially for populated cities during rush hours. A traffic blockage can be realized as the source of traffic congestion, which can propagate to form queues and sometimes a gridlock. Traffic blockages are triggered by complicated factors ranging from temporal and spatial situations. Recurrent congestion is a traffic congestion that occurs during morning and evening rush hours e.g. from school buses and parent vehicles to drive their children to-and-from schools. In addition, unforeseen, unexpected events that can cause as non-recurrent traffic congestion e.g. car breakdowns, accidents, road maintenance, and severe weather conditions, which can disorder normal traffic flows and reduce road capacity. Traffic blockage may spread its negative impacts to neighbouring upstream and downstream links. And that can lead to the formation of congestion gridlock, which further reduce traffic flow efficiency in a complex urban road network. These problems are vital but often tough to resolve in urban road networks. In this paper, the Chula-Sathorn SUMO Simulator (Chula-SSS) dataset has been used with Simulation of Urban Mobility (SUMO) to simulate recurrent and non-recurrent congestion cases. The detection is based on the information from simulated lane area detectors. For non-recurrent case, lanes are closed to simulate the gridlock occurrences. With the morning case of calibrated Chula-SSS dataset, both recurrent and nonrecurrent congestion based gridlock have been studied with upstream and downstream nearby detectors and preliminary results are herein reported upon the gridlock status as detected by using different combinations of traffic jam length and mean speed conditions at both the upstream and downstream detectors of every intersection within the critical looped road segments.

scholarly journals Neuroadapive Control of Traffic Flows in Urban Road Network

2018 ◽  
pp. 49-58
Author(s):  
А И Дивеев ◽  
◽  
Е А Софронова ◽  
В А Михалев ◽  
◽  
...  
Keyword(s):  
Road Network ◽  
Traffic Flows ◽  
Urban Road Network ◽  
Urban Road

Impact of the urban construction solutions on the safety population

2020 ◽  
Vol 17 (2) ◽  
pp. 66-73
Author(s):  
R. D. Oktyabrskiy
Keyword(s):  
Traffic Congestion ◽  
Urban Population ◽  
Road Network ◽  
Residential Development ◽  
Emergency Situations ◽  
Urban Construction ◽  
Safety Population ◽  
Peace And War ◽  
The City

The article is devoted to the justification of the need to reduce the population density in the residential development of cities. The analysis of vulnerability of the urban population from threats of emergency situations of peace and war time, and also an assessment of provision of the city by a road network is given. Proposals have been formulated to reduce the vulnerability of the urban population in the long term and to eliminate traffic congestion and congestion — jams.

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