Demonstration of alternative traffic information collection and management technologies

To help transportation planners, the Federal Highway Administration (FHWA) has recently sponsored the development of a sketch planning analysis tool for estimating the benefits and costs of intelligence transportation system (ITS) deployment. Called the ITS Deployment Analysis System (IDAS), the tool was developed by Cambridge Systematics for FHWA and operates as a postprocessor to traditional planning models that are based on the four-step planning process. IDAS was used to predict the likely benefits of deploying ITS in Chittenden County, Vermont, a medium-sized region in northwestern Vermont, to gain insight into IDAS’ applicability in evaluating ITS benefits. A sensitivity analysis was also conducted to assess the sensitivity of IDAS’ results to the choice of values of some of the model’s parameters. The sensitivity analysis demonstrates that some of the model’s parameters tend to have a more significant impact on the results than others. Finally, the results indicate that, for medium-sized areas similar to Chittenden County, coordination of signals along major arterials and transit projects for automatic vehicle location and scheduling appear to be more cost-effective than freeway and incident management systems.

A perspective on ITS deployment

Traffic Management Centers (TMCs) may control dozens of variable message signs (VMSs). Computers may help TMC operators select messages to post to VMSs, in response to traffic conditions. Errors in posting messages (incorrect location, wording, or both) can complicate traffic management and undermine public confidence in the TMC. An experiment was conducted in the TMC Simulator to compare support systems that directly post messages on VMSs with those that simply suggest messages to the operator. The post condition resulted in better performance in terms of getting appropriate messages posted on the correct signs in a timely fashion. Significant delays were sometimes associated with the operator's response to support system suggestions, even though the suggestions were prompt and accurate. We recommend that VMS management support systems be allowed to post messages without requiring operator approval, given that the messages have been previously approved for content, and the error rate of the support system is acceptably low.

This paper summarizes the authors' practical experiences in Intelligent Transportation System (ITS) Integration, a key issue in ITS deployment. Concept of ITS integration levels of integration, system architecture for integration, and integration implementation are discussed. Finally, the paper attempts to provide recommendations at the strategic level for China ITS improvements, in particular including general considerations to ensure the success of ITS Integration in China.

This paper examines the relationship between public and private investments in intelligent transportation system (ITS) technology and the effects on transportation performance through the highway system. ITS technology is an infrastructure that promotes integrated information sharing that can be used to improve system performance. ITS combines better infrastructure with information and control technologies to ( a) reduce traffic congestion by maintaining traffic flow, ( b) reduce transportation-generated pollution, ( c) improve transport efficiency, and ( d) produce economic benefits. A statistical analysis of partial least squares structural equation modeling was used to test three hypothesized relationships. Primary data were collected from U.S.-based commercial vehicle transportation service providers. Respondents were parceled with a geographic information system analysis of secondary data from the U.S. Department of Transportation National ITS Deployment Tracking Survey. On the basis of their level of regional ITS experience, primary data respondents were matched to regions and split between regions with low ITS experience and high ITS experience as a proxy for regional public investments in ITS. Performance measures were based on efficiency, reliability, responsiveness, quality, carbon emissions reduction, and equipment utilization for commercial vehicle operators. Results indicate that private investments in ITS significantly positively affect the responsiveness performance measure for commercial vehicle operators in regions with high public ITS investments. The same relationship is not significant in regions with low public ITS investments, which indicates at least some transportation performance improvements for regions with higher investments in ITS. Implications for research and practice are discussed.

Following the newly adopted European Directive on Intelligent Transport Systems (ITS) 2010/40/EU, officially published on November 30th 2023 under the new code (EU) 2023/2661, opportunities arise for the entire industry. The main aim of the Directive is to promote coordinated deployment of intelligent transport systems in accordance with technological development and user needs. It provides a framework for developing and implementing technologies to improve transportation systems' efficiency, safety, and sustainability within the European Union (EU) and member states. The new European legislation should ensure that ITS applications in the field of road transport enable seamless integration with other modes of transport thus facilitating a shift to those modes whenever possible. This will in time improve the safety, efficiency and accessibility of the European transportation system. In this paper, we are analyzing the main objectives of the EU initiative and changes compared to the initial Directive of 2010 with special regard to changes in Priority III, safety and Priority IV, ITS services for connecting, cooperation and automatization of mobility. Although all key changes are analysed the special focus was on critical services such as road safety-related traffic information services, to be made available across Europe.

Deployment of intelligent transportation systems (ITS) is one of the 12 key areas of research and development in China's 10th five-year plan, lasting from 2000 to 2005. China's highway system has grown significantly over the last decade. Traffic congestion and air pollution have been the two major problems facing Beijing for decades and are the two central concerns for the successful execution of the 2008 Olympics. Recently, Beijing's government has made tremendous efforts toward solving those problems, and ITS technology will likely play an important role in the solutions. This installment deals with ITS issues in China. Clearly, ITS will play a role in the future, and all major cities are working on integrating systems into their current scenarios. Along with this, we're witnessing the boost of China's economy and, particularly, its great effort constructing its new transportation network. This installment presents the architecture and the technology that will be the starting point for the construction of the ITS, that will be used in Beijing 2008 Olympics.

Recent years have seen a more intensified deployment of Intelligent Transport Systems (ITS) in Polish cities. Work is also underway on the implementation of ITS on the national roads within the National Traffic Management System (KSZR). The research project RID-4D (part of Road Innovations), is designed to fill the gap, which is the lack of systematics of ITS services in Poland. The paper presents a proposal of ITS services systematics, which was developed based on an analysis of key international standards. FRAME architecture and American standards were the basis for the preparation of a standard scheme of ITS services. The results of the work on the KSZR architecture as well as local and regional architectures of urban systems were also taken into account.

Through research and lessons learned from early intelligent transportation systems (ITS) deployers, it has been concluded that the procurement of goods and services to support ITS deployments represents a major obstacle for transportation agencies responsible for deploying ITS. This obstacle can be attributed to the challenges associated with the procurement of goods and services to support the deployment of complex information technology (IT) systems. In response to this challenge, innovative procurement methods have been established. In an effort to aid state and local transportation agencies with the identification of appropriate innovative procurement methods, the National Cooperative Highway Research Program (NCHRP) funded Project 3-77 with the objective of developing a guide to ITS procurement. A research team was established to develop the guide and an NCHRP research panel was established to oversee the development of the guide. As a result of this research it was determined that project, agency and environment characteristics and systems engineering and project management principles are key inputs into the process used to identify an appropriate procurement approach for a specified ITS project. A decision model was developed to represent this process.

VMS(Variable Message Sign) helps drivers to choose their path to destinations on roadways. Some types of VMS often provide traffic information with clearly visible and comprehensible graphical route diagrams. Currently many diagramed types of VMS are installed on urban arterial and highways. This type of VMS surely enhances drivers` ability to comprehend traffic route information while they are driving on the roadway. Nevertheless, some of them are presented with so much information and design elements and they sometimes lead to decline of drivers` comprehensible level for traffic information. Drivers would fail to decide their preferable route in this state of information overflow. The purpose of this paper is to develop a drivers preference model for effective design principle including size and height of displaying font, and the amount of information in the route diagram considering driving speed, sex and age of the driver. This model is developed using structural equation modeling techniques. This model considers driver`s emotional factor and, human factor and design component of route diagram. To collect data, we built driving simulator which is able to replicate real driving condition. 72 people who participated in the simulation were selected considering gender and age. The developed model showed that the amount of information, and visibility are more influential factors to the drivers` preference of the route diagram on VMS than design elements such as the shape and the font of the diagram.

Urban traffic situation information is the basis of effective traffic guidance and traffic control. In order to promote communication and practical applications of traffic information, then can provide full, accurate, real time and sufficient traffic information service to public, government and correlative enterprises, in this paper, the authors proposed the dynamic traffic information collection and processing methods of intelligent transportation systems (ITS) common information platform (CIP) based on floating car technology. According to the characteristics of the ITS CIP data collection, they were required large scale, accurate and dynamic data collecting. A complete set of dynamic traffic information processing methods based on floating car technology were studied, including road data storage by two queues, error data elimination by taximeter, map matching by region dividing method and boundary rectangle, and traffic condition calculation by circle queues and A* algorithm. The application of the methods in the ITS CIP of Guangzhou City proved that the methods were quite effective and valuable to be popularized.

Intelligent Transportation Systems (ITS) have progressively incorporated machine learning to optimize traffic efficiency, enhance safety, and improve real-time decision-making. However, the traditional centralized machine learning (ML) paradigm faces critical limitations regarding data privacy, scalability, and single-point vulnerabilities. This study explores FL as a decentralized alternative that preserves privacy by training local models without transferring raw data. Based on a systematic literature review encompassing 39 ITS-related studies, this work classifies applications according to their architectural detail—distinguishing systems from models—and identifies three families of federated learning (FL) frameworks: privacy-focused, integrable, and advanced infrastructure. Three representative frameworks—Federated Learning-based Gated Recurrent Unit (FedGRU), Digital Twin + Hierarchical Federated Learning (DT + HFL), and Transfer Learning with Convolutional Neural Networks (TFL-CNN)—were comparatively analyzed against a client–server baseline to assess their suitability for ITS adaptation. Our qualitative, architecture-level comparison suggests that DT + HFL and TFL-CNN, characterized by hierarchical aggregation and edge-level coordination, are conceptually better aligned with scalability and stability requirements in vehicular and traffic deployments than pure client–server baselines. FedGRU, while conceptually relevant as a meta-framework for coordinating multiple organizational models, is primarily intended as a complementary reference rather than as a standalone architecture for large-scale ITS deployment. Through application-level evaluations—including traffic prediction, accident detection, transport-mode identification, and driver profiling—this study demonstrates that FL can be effectively integrated into ITS with moderate architectural adjustments. This work does not introduce new experimental results; instead, it provides a qualitative, architecture-level comparison and adaptation guideline to support the migration of ITS applications toward federated learning. Overall, the results establish a solid methodological foundation for migrating centralized ITS architectures toward federated, privacy-preserving intelligence, in alignment with the evolution of edge and 6G infrastructures.

The potential complexity and size of Intelligent Transport Systems (ITS) requires that they be implemented through a systems engineering approach based on the use of ITS Architectures. These enable a high level set of “views” of the proposed ITS to be obtained early in its lifecycle so that many of the details and implications can be checked and, if necessary, changed at significantly less cost than if the need for a change is only found when some/all of the development work has been completed. The FRAME Architecture has been created for use as the starting point for any deployment of ITS, and a methodology for its use has been developed. This methodology is now supported by two FRAME Architecture Tools. The FRAME Architecture has now been extended to include cooperative systems.

Under the policy of e-traffic: Intelligent Traffic Control System, promoted by the Ministry of Transportation and Communication, Taiwan, Taichung city government installed a traffic management and information center to integrate traffic control, traffic information, parking guidance and management, as well as public transportation management for the whole city. In this study, we further developed integrated traffic control strategies to alleviate the traffic congestion in the city area around freeway interchanges. To exchange control messages between the traffic management and information center and freeway traffic control center, administrated by Taiwan Area National Freeway Bureau, we set up a set of message types for the interaction and coordination. By means of numerical simulation under various scenarios, it can show that the developed integrated traffic control strategies can indeed improve the overall operation performance by up to 27.37% due to properly reallocating traffic flow in the network.

The deployment of Intelligent Transportation Systems (ITS) is a challenge for industry and scientific community. Traffic characteristics change widely within a single day, therefore, ITS engineers and researchers must deal with that dynamic behavior. On the other hand, once the ITS depends on networking services, specific studies are required to consider the communication parameters along with vehicle mobility. In this paper, we propose an analytical model based on the Stochastic Petri Net (SPN) theory for evaluating Vehicular Ad-Hoc Networks (VANETs) infrastructures, considering mobility and network parameters, and the respective constraints. We employ expolynomial distributions to represent Roadside Unit (RSU) service rates. Those probability distributions allow the approximation of many analytical and empirical data. Results show that parameters such as vehicular density, message frequency, and RSU radius may affect significantly the overall system performance.