Multi-Modal Design of an Intelligent Transportation System

Chaturvedi, Manish; Srivastava, Sanjay

doi:10.1109/tits.2016.2631221

Cited by 32 publications

(9 citation statements)

References 20 publications

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“…Nowadays, sensor data in vehicles and VIP and RADAR data are the best solution for traffic modelling and vehicle trajectory studies in the SSAM. Further development of methods based on the fusion of data from sensors located in the road environment and FCD data is required [ 95 , 96 ]. ANPR and Bluetooth/Wi-Fi sensor data are useful for travel distribution modelling and traffic model calibration or validation and can be complemented or replaced by mobile phones or electronic devices in vehicle location data.…”

Section: Simulation Methods Of Road Safety Assessmentmentioning

confidence: 99%

Assessment of the Speed Management Impact on Road Traffic Safety on the Sections of Motorways and Expressways Using Simulation Methods

Oskarbski

Kamiński

Kyamakya

et al. 2020

Sensors

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Methods used to evaluate the impact of Intelligent Transport System (ITS) services on road safety are usually based on expert assessments or statistical studies. However, commonly used methods are challenging to apply in the planning process of ITS services. This paper presents the methodology of research using surrogate safety measures calculated and calibrated with the use of simulation techniques and a driving simulator. This approach supports the choice of the type of ITS services that are beneficial for traffic efficiency and road safety. This paper presents results of research on the influence of selected scenarios of variable speed limits on the efficiency and safety of traffic on the sections of motorways and expressways in various traffic conditions. The driving simulator was used to estimate the efficiency of lane-keeping by the driver. The simulation traffic models were calibrated using driving simulator data and roadside sensor data. The traffic models made it possible to determine surrogate safety measures (number of conflicts and their severity) in selected scenarios of using ITS services. The presented studies confirmed the positive impact of Variable Speed Limits (VSLs) on the level of road safety and traffic efficiency. This paper also presents recommendations and plans for further research in this area.

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Section: Simulation Methods Of Road Safety Assessmentmentioning

confidence: 99%

Assessment of the Speed Management Impact on Road Traffic Safety on the Sections of Motorways and Expressways Using Simulation Methods

Oskarbski

Kamiński

Kyamakya

et al. 2020

Sensors

View full text Add to dashboard Cite

show abstract

“…(2) e demand of each customer point must be met, and the delivery can only be completed by one vehicle, and the number of times the vehicle can visit the resource increase point is unlimited. (3) e distribution vehicle starts from the warehouse to complete the distribution and return to the warehouse. e static distribution route optimization model is based on the traffic flow and describes the state of the vehicle based on the physical network to increase the resource consumption constraints: Complexity…”

Section: Traffic Route Optimization Modelmentioning

confidence: 99%

“…Resource constraint not only refers to the shortage and price increase of natural resources caused by the decrease in quantity, quality, and difficulty of development and utilization of natural resources, which restricts economic growth, but also known as the quantity control constraint of natural resources. It also refers to the superior resource endowment, the oversupply of resources, and serious environmental problems caused by overexploitation of resources, and the over-reliance on rough processing industry leads to the constraint of low-end industrial structure on economic growth, which is also called quality control constraint [2,3]. Cities have a vast territory, the distribution of resources in different regions is uneven, the two situations, shortage of resources and abundance of resources, may occur, and shortage and relatively abundant resources of the region are facing different resource constraints.…”

Section: Introductionmentioning

confidence: 99%

Environmental and Social Problems and Countermeasures in Transportation System under Resource Constraints

Tian

2020

Complexity

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With the rapid development of urban economy and the acceleration of urbanization, the demand for urban traffic is increasing rapidly. The single traffic-oriented planning does not take into account the requirements of traffic development on resources and the impact on the environment. The traffic construction of most cities can not fully meet the standard of ecotype. In this paper, the vehicle distribution route optimization problem under multiresource constraints such as vehicle energy capacity and vehicle loading capacity is studied, and the static and dynamic models of distribution route optimization under multiresource constraints are established. In the static distribution route optimization model, the distribution route optimization problem with subloops is solved by modifying the network structure and adding virtual resource points. In the dynamic model, the spatiotemporal network model is used to avoid the generation of subloops, and the description of the vehicle distribution route planning problem is more intuitive and accurate. The model enriches the vehicle distribution route selection scheme at the cost of expanding the model scale. And it can solve the time when the vehicle arrives and leaves the customer point. This paper provides a good countermeasure for solving the environmental and social problems in the transportation system under the condition of resource constraints.

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“…The cyber part consists of communication, information collection, control mode, collaborative algorithms, whereas the physical part includes different kinds of sensors, basic infrastructures, and on-board computers and controllers. A multimodal ITS can integrate data from cellular networks and GPS probes to estimate vehicle speed, space occupancy, and congestion [31]. A smart traffic infrastructure can also support autonomous and semiautonomous vehicles, whose predictive trajectory guidance systems must be able to withstand dynamic environments [32].…”

Section: Intelligent Transportation Systemsmentioning

confidence: 99%

An Interdisciplinary Review of Smart Vehicular Traffic and Its Applications and Challenges

Fiore

Florea

Lechuga

2019

JSAN

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Sensors and intelligent applications enabling smart vehicular traffic create an opportunity for improving the welfare of people, from the viewpoints of efficiency, sustainability, and social inclusivity. Like the opportunities, challenges of such an endeavour are multifaceted, including the scalable collection and processing of the hefty data volumes generated by sensors, and the coordinated operation between selfish agents. The purpose of this work is to survey recent literature with an emphasis on applications and a multidisciplinary eye, with the aim of stimulating discussion and reflection in the scientific communities. The principal application areas of smart traffic and smart mobility are discussed, synthesizing different perspectives. Many intriguing areas for future research exist besides those relative to connectivity, data fusion, and privacy. Some research challenges pertinent to sustainability, insurance, simulation and the handling of ambiguous information are highlighted.

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Multi-Modal Design of an Intelligent Transportation System

Cited by 32 publications

References 20 publications

Assessment of the Speed Management Impact on Road Traffic Safety on the Sections of Motorways and Expressways Using Simulation Methods

Assessment of the Speed Management Impact on Road Traffic Safety on the Sections of Motorways and Expressways Using Simulation Methods

Environmental and Social Problems and Countermeasures in Transportation System under Resource Constraints

An Interdisciplinary Review of Smart Vehicular Traffic and Its Applications and Challenges

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