Roadrunner+: An Autonomous Intersection Management Cooperating with Connected Autonomous Vehicles and Pedestrians with Spillback Considered

The recent emergence of Connected Autonomous Vehicles (CAVs) enables the Autonomous Intersection Management (AIM) system, replacing traffic signals and human driving operations for improved safety and road efficiency. When CAVs approach an intersection, AIM schedules their intersection usage in a collision-free manner while minimizing their waiting times. In practice, however, there are pedestrian road-crossing requests and spillback problems, a blockage caused by the congestion of the downstream intersection when the traffic load exceeds the road capacity. As a result, collisions occur when CAVs ignore pedestrians or are forced to the congested road. In this article, we present a cooperative AIM system, named Roadrunner+ , which simultaneously considers CAVs, pedestrians, and upstream/downstream intersections for spillback handling, collision avoidance, and efficient CAV controls. The performance of Roadrunner+ is evaluated with the SUMO microscopic simulator. Our experimental results show that Roadrunner+ has 15.16% higher throughput than other AIM systems and 102.53% higher throughput than traditional traffic signals. Roadrunner+ also reduces 75.62% traveling delay compared to other AIM systems. Moreover, the results show that CAVs in Roadrunner+ save up to 7.64% in fuel consumption, and all the collisions caused by spillback are prevented in Roadrunner+.

Evaluation of minimum ramp distance in efforts to improve performance on Jakarta - Cikampek toll road

Toll road ramps that connect toll roads and arterial roads are often crowded until they are jammed by the activities of workers and school deliverers. And the rush hour that occurs in the morning and evening causes congestion on toll access roads both on and off ramps. The purpose of this research to find out how the performance condition of the toll access road with the distance that is currently available.. The method used in this paper is descriptive quantitative. By using the results of the Average Daily Traffic (ADT) survey at the intersection of West Bekasi, Cibitung and West Kerawang during the morning and evening rush hours. The results of the survey and analysis using the 1997 Indonesian Road Capacity Manual (IRCM) standard obtained a ratio of volume to capacity (v/c ratio), speed and traffic density, these characteristics were then used to find the Level Of Service (LOS) obtained by LOS F (VCR >1). The conclusion from the analysis is that the performance of the connecting road/ramp often occurs during rush hour with the lowest LOS F values in the morning and evening, so it is necessary to evaluate the minimum ramp distance.

Analisis Pengaruh On-Street Parking terhadap Kinerja Jalan di Pasar Jaya Ciracas, Jakarta Timur

This research contains an analysis of the traffic performance by dint of on-street parking, afterward the results are compared with the traffic performance if a scenario is made that there is no on-street parking activity. The purposes of this research are to determine the impact of on-street parking to road performance also to perceive the road level of service. The method used in this research is a quantitive method by direct field research. The results of this research are on-street parking activity around Jaya Ciracas Market affected the traffic performance with a difference in road capacity about 39,03%. The value of the road level of service when there is on-street parking activity is D, while when on-street parking is abolished, the road level of service can increase to C.

EVALUASI FAKTOR HAMBATAN SAMPING PADA PENENTUAN KAPASITAS JALAN STUDI KASUS: JALAN JENDRAL SUDIRMAN JAKARTA

Technological developments and economic growth in the DKI Jakarta area have resulted in increased development in various fields, that the need for transportation facilities is increasing in the center of Jakarta, especially on Jalan Jendral Sudirman, traffic congestion is caused by an imbalance between increased use of vehicles and the growth of available road infrastructure, and the capacity of the existing road is smaller than the capacity of the planned road, all of which result in side obstacles. The purpose of this study was to analyze and evaluate side barriers in determining traffic capacity in various conditions and certain times, based on the 1997 MKJI guidelines. Calculating road capacity using secondary data from research that has been validated by previous researchers. in 2020 by Sarah Haryati, that data is obtained on Jalan Jendral Sudirman, Jakarta. In addition, we also use questionnaire data in the form of a google form to get the perception of these side barriers. The results obtained that the Jalan Jendral Sudirman Jakarta section is in the Very Low class in the morning, afternoon, and evening. For the next research, it is expected to specifically make a questionnaire to focus more on getting more valid data. ABSTRAKPerkembangan teknologi serta pertumbuhan ekonomi di wilayah DKI Jakarta mengakibatkan peningkatan pembangunan di berbagai bidang, sehingga kebutuhan sarana transportasi semakin meningkat pada pusat kota Jakarta terutama pada jalan Jendral Sudirman, kemacetan lalu lintas disebabkan oleh ketidak seimbangan antara peningkatan penggunaan kendaraan dan pertumbuhan prasarana jalan yang tersedia, serta kapasitas ruas jalan yang ada lebih kecil dari kapasitas jalan yang direncanakan, semua itu mengakibatkan adanya hambatan samping. Tujuan penelitian ini dilakukan untuk menganalisis dan juga mengevaluasi faktor hambatan samping pada penetuan kapasitas lalu lintas di berbagai macam kondisi dan waktu tertentu, dengan berdasarkan dari pedoman MKJI tahun 1997. Dengan menghitung kapasitas jalan menggunakan data sekunder dari penelitian yang sudah di validasi yang dilakukan oleh peneliti sebelumnya pada tahun 2020 oleh Sarah Haryati, didapatkan data-data pada jalan Jendral Sudirman, Jakarta. Selain itu kita juga menggunakan data kuesioner dalam bentuk google form untuk mendapatkan persepsi hambatan samping tersebut. Hasil yang didapatkan bahwa ruas Jalan Jendral Sudirman Jakarta terdapat dalam kelas Sangat Rendah pada waktu pagi hari, siang hari, dan sore hari. Untuk penelitian berikutnya, diharapkan secara khusus membuat kuesioner agar lebih fokus mendapatkan data yang lebih valid.

Contextual Route Recommendation System in Heterogeneous Traffic Flow

The traffic composition in developing countries comprises of variety of vehicles which include cars, buses, trucks, and motorcycles. Motorcycles dominate the road with 77.5% compared to other types. Meanwhile, route recommendation such as navigation and Advanced Driver Assistance Systems (ADAS) is limited to particular vehicles only. In this research, we propose a framework for a contextual route recommendation system that is compatible with traffic conditions and vehicle type, along with other relevant attributes (traffic prediction, weather, temperature, humidity, heterogeneity, current speed, and road length). The framework consists of two phases. First, it predicts the traffic conditions by using Knowledge-Growing Bayes Classifier on which the dataset is obtained from crawling the public CCTV feeds and TomTom digital map application for each observed road. The performances of the traffic prediction are around 60.78–73.69%, 63.64–77.39%, and 60.78–73.69%, for accuracy, precision, and recall respectively. Second, to accommodate the route recommendation, we simulate and utilize a new measure, called road capacity value, along with the Dijkstra algorithm. By adopting the compatibility, the simulation results could show alternative paths with the lowest RCV (road capacity value).

Analisis Tingkat Pelayanan Jalan Dan Evaluasi Struktur Perkerasan Jalan Pada Jalan Semeru, Jalan Pancasila Dan Jalan Kolonel Sudiarto

Tegal city station which is in the center of Tegal city. Activities in and out of station visitors lead to a density of road capacity. As well as the smoothness of traffic also depends on the condition of the road pavement. This study aims to determine the level of road service and evaluation of road pavement thickness as well as to provide alternative ways of handling road problems on Jalan Semeru, Jalan Pancasila and Jalan Kolonel Sudiarto which are influenced by road users around the Kota Tegal station. The benefits of the research provide material for consideration of regional structuring policies and input data on road improvement planning for related agencies. The research method is qualitative, namely analyzing the level of road service with LOS calculations according to the 1997 Indonesian Road Capacity Manual and evaluating pavement thickness with CESA calculations according to the 2013 Road Pavement Design Manual. Data analysis was obtained from field measurements and traffic volume calculations. The results of the calculation of the analysis of the level of road service on Jalan Semeru, Jalan Pancasila and Jalan Kolonel Sudiarto are at service level C, namely stable current conditions with an average speed of 30 km / h due to side obstacles so that the driver has limitations in choosing speed, it is recommended to add and traffic sign confirmation. Evaluation of the structure of the pavement layer on Jalan Pancasila is adequate for the next 20 years of planning life. Meanwhile, Jalan Semeru with a length of 610 meters and a width of 550 meters as well as Jalan Kolonel Sudiarto with a length of 845 meters and a width of 700 meters need to be thickened with a layer of wear layer (AC-WC) with a thickness of 4 cm at a cost of Rp. 1,256,137,000.

Influences of Single-Lane Automatic Driving Systems on Traffic Efficiency and CO2 Emissions on China’s Motorways

There are big differences between the driving behaviors of intelligent connected vehicles (ICVs) and traditional human-driven vehicles (HVs). ICVs will be mixed with HVs on roads for a long time in the future. Different intelligent functions and different driving styles will affect the condition of traffic flow, thereby changing traffic efficiency and emissions. In this paper, we focus on China’s expressways and secondary motorways, and the impacts of the ‘single-lane automatic driving system’ (SLADS) on traffic delay, road capacity and carbon dioxide (CO2) emissions were studied under different ICV penetration rates. Driving styles were regarded as important factors for scenario analysis. We found that with higher volume input, SLADS has an optimizing effect on traffic efficiency and CO2 emissions generally, which will be more significant as the ICV penetration rate increases. Additionally, enhancing the aggressiveness of driving behavior appropriately is an effective way to amplify the benefits of SLADS.