Recent advances in traffic optimisation: systematic literature review of modern models, methods and algorithms

Rydzewski, Aleksander; Czarnul, Paweł

doi:10.1049/iet-its.2020.0328

Cited by 16 publications

(9 citation statements)

References 125 publications

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“…Globally, there are improvements in reducing traffic congestion [52]. This is especially true in developed countries, where adaptive traffic signals, real-time traffic monitoring, smart corridors, and pedestrian tracking systems with advanced V2I technologies are deployed, which has drastically reduced congestion [53]. The developing cities such as Johannesburg can look into initiating such technological systems so as to bring about a positive impact on the challenged roads.…”

Section: Discussion Implications Reflections and Generalizability Of ...mentioning

confidence: 99%

Assessing Spatial Variations of Traffic Congestion Using Traffic Index Data in a Developing City: Lessons from Johannesburg, South Africa

et al. 2022

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The COVID-19 pandemic has created unforeseen effects in public transport and the mobility of people in cities globally. Johannesburg, being a developing city in one of the most affected countries in Africa during the pandemic, has experienced severe changes in traffic management and travel patterns as a result of the restrictions imposed on movement. Hence, this study examined the spatial variations in traffic during the pandemic. The study utilized data obtained from the TomTom Traffic Index for the city of Johannesburg from 2019 to 2021, with 2019 representing the period pre-COVID-19 with no lockdown restrictions, 2020 representing the period with restricted movement to limit spread of COVID-19, and 2021 representing a period of relaxed and minimized restrictions on movement. Our findings revealed that there was a variation in congestion levels between 2019–2021 with year 2020 having the least congestion from the beginning of the COVID-19 restrictions due to regulations enforced in movement and reduced travel. Our findings further revealed that traffic congestion was higher during weekdays than weekends during the three periods, with mini-bus taxis as the major contributors to congestion. Consequently, there is a need to discourage the use of single occupancy vehicles and invest in more sustainable means of transportation to ease the mobility of people and reduce traffic on major roads.

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Section: Discussion Implications Reflections and Generalizability Of ...mentioning

confidence: 99%

Assessing Spatial Variations of Traffic Congestion Using Traffic Index Data in a Developing City: Lessons from Johannesburg, South Africa

et al. 2022

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“…Graph theory has been used for different purposes and with success in studies in the field of intelligent transport systems (Aleksander 2020 ; Henning 2017 ). By modelling the road network as a spatial graph, it is possible to formalise the routes that public transport vehicles can take.…”

Section: Methodsmentioning

confidence: 99%

Data mining methodology for obtaining epidemiological data in the context of road transport systems

Cristóbal

Quesada-Arencibia

Blasio

et al. 2022

J Ambient Intell Human Comput

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Millions of people use public transport systems daily, hence their interest for the epidemiology of respiratory infectious diseases, both from a scientific and a health control point of view. This article presents a methodology for obtaining epidemiological information on these types of diseases in the context of a public road transport system. This epidemiological information is based on an estimation of interactions with risk of infection between users of the public transport system. The methodology is novel in its aim since, to the best of our knowledge, there is no previous study in the context of epidemiology and public transport systems that addresses this challenge. The information is obtained by mining the data generated from trips made by transport users who use contactless cards as a means of payment. Data mining therefore underpins the methodology. One achievement of the methodology is that it is a comprehensive approach, since, starting from a formalisation of the problem based on epidemiological concepts and the transport activity itself, all the necessary steps to obtain the required epidemiological knowledge are described and implemented. This includes the estimation of data that are generally unknown in the context of public transport systems, but that are required to generate the desired results. The outcome is useful epidemiological data based on a complete and reliable description of all estimated potentially infectious interactions between users of the transport system. The methodology can be implemented using a variety of initial specifications: epidemiological, temporal, geographic, inter alia. Another feature of the methodology is that with the information it provides, epidemiological studies can be carried out involving a large number of people, producing large samples of interactions obtained over long periods of time, thereby making it possible to carry out comparative studies. Moreover, a real use case is described, in which the methodology is applied to a road transport system that annually moves around 20 million passengers, in a period that predates the COVID-19 pandemic. The results have made it possible to identify the group of users most exposed to infection, although they are not the largest group. Finally, it is estimated that the application of a seat allocation strategy that minimises the risk of infection reduces the risk by 50%.

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“…presented a systematic review on recent advance methods and algorithms for road traffic optimisation. They explored a large number of possible simulation types that can be used for this purpose, such as SUMO, NetLogo, SCOOT, VANET, VISSIM, and AIMSUM [26]. They provided a diagram representing how often each simulator is used, as in Figure 2.…”

Section: Related Workmentioning

confidence: 99%

“…-145 SCOOT, VANET, VISSIM, and AIMSUM [26]. They provided a diagram representing how often each simulator is used, as in Figure 2.…”

Section: Related Workmentioning

confidence: 99%

Novel system for road traffic optimisation in large cities

et al. 2022

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Traffic congestion and road intersection management have become a significant issue, mainly with the highly increasing number of vehicles in cities. There is a common belief from vehicle drivers that installing traffic lights with some consideration of traffic flows will be dominant in traffic movements. This article proposes a novel system for Urban Traffic Control (UTC) with a continuous dynamic environment adaptation to improve traffic flow on large cities' network roads. The proposed system introduces vehicle counting method, lane evaluation of the current status and controlling method considering the effect on the whole traffic network-not just the intersection itself-to provide an efficient traffic scheduling. The main objective of the authors' system is to reduce traffic jam, by reducing waiting time and trip time for vehicles at intersections. Some indicators and models are introduced in this work to assign traffic flow schedules with minimum traffic congestion and vehicle waiting time. These indicators and models include a traffic jam indicator, vehicle priority and lane weight. A multi-agent urban traffic control system is proposed as the simulation environment using NetLogo simulator. (A total of 150) Vehicles are generated with random behaviour distributed over 25 intersections for 9 h duration to compare the normal fixed cycle traffic light and the authors' smart traffic control. Results show a reduction in the total average waiting time of all vehicles for the simulation period by more than (29.98%). Hence, it is more suitable for the complexity of the current traffic condition with minimum changing infrastructure. K E Y W O R D S road traffic control, road traffic management, smart cities, smart traffic light, urban traffic control, UTC This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Recent advances in traffic optimisation: systematic literature review of modern models, methods and algorithms

Cited by 16 publications

References 125 publications

Assessing Spatial Variations of Traffic Congestion Using Traffic Index Data in a Developing City: Lessons from Johannesburg, South Africa

Assessing Spatial Variations of Traffic Congestion Using Traffic Index Data in a Developing City: Lessons from Johannesburg, South Africa

Data mining methodology for obtaining epidemiological data in the context of road transport systems

Novel system for road traffic optimisation in large cities

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