2018 21st International Conference on Intelligent Transportation Systems (ITSC)最新文献_第4页

Efficient Taxi and Passenger Searching in Smart City using Distributed Coordination 基于分布式协调的智慧城市高效出租车和乘客搜索

2018 21st International Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2018-11-01 DOI: 10.1109/ITSC.2018.8569728

Anmol Agrawal, V. Raychoudhury, Divya Saxena, A. Kshemkalyani

{"title":"Efficient Taxi and Passenger Searching in Smart City using Distributed Coordination","authors":"Anmol Agrawal, V. Raychoudhury, Divya Saxena, A. Kshemkalyani","doi":"10.1109/ITSC.2018.8569728","DOIUrl":"https://doi.org/10.1109/ITSC.2018.8569728","url":null,"abstract":"Taxicabs are an important element of urban public transportation. Taxicabs either cruise through city streets in search of passengers or wait at several hotspots (like airports, rail stations, malls, stadiums, taxi stands, etc). Cruising by empty Taxis increases city traffic and carbon footprint while reducing net profit. Alternatively, there might be places where passengers are waiting long for taxis. In order to improve coordination between taxis and passengers with a view to decrease passenger waiting time and to increase taxi profits, we propose a taxi selection algorithm (TSA) as well as a hotspot recommendation approach (HRA). While the proposed TSA achieves its objective through distributed coordination among the participating taxis and passengers, the HRA uses a clustering approach over a large-scale taxi dataset to pin-point hotspots. The main contribution of this paper lies in extensive experimentation using large-scale taxi dataset of SFO to show that the TSA outperforms existing taxi selection algorithms by finding a taxi which can reach the passenger in minimum time with up to 97.59% accuracy. We also evaluate the HRA using another taxi dataset from NYC which shows that 60% of the times, a taxi will get a passenger following our recommendation scheme.","PeriodicalId":395239,"journal":{"name":"2018 21st International Conference on Intelligent Transportation Systems (ITSC)","volume":"67 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132790983","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 7

Multi Stage Model Predictive Trajectory Set Approach for Collision Avoidance 多阶段模型预测轨迹集避碰方法

2018 21st International Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2018-11-01 DOI: 10.1109/ITSC.2018.8569790

Andreas Homann, M. Buss, Martin Keller, K. Glander, T. Bertram

引用次数: 2

Traffic Characterization on Airport Surface Using Aircraft Ground Trajectories 使用飞机地面轨迹的机场表面交通特征

2018 21st International Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2018-11-01 DOI: 10.1109/ITSC.2018.8569350

M. Mahrsi, C. Andrieu, E. Côme, Zakaria Bezza, L. Oukhellou, F. Rossi

引用次数: 1

Dynamic Pricing in One-Sided Autonomous Ride-Sourcing Markets 单边自主拼车市场的动态定价

2018 21st International Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2018-11-01 DOI: 10.1109/ITSC.2018.8569227

Renos Karamanis, Panagiotis Angeloudis, A. Sivakumar, M. Stettler

{"title":"Dynamic Pricing in One-Sided Autonomous Ride-Sourcing Markets","authors":"Renos Karamanis, Panagiotis Angeloudis, A. Sivakumar, M. Stettler","doi":"10.1109/ITSC.2018.8569227","DOIUrl":"https://doi.org/10.1109/ITSC.2018.8569227","url":null,"abstract":"Dynamic pricing has been used by Transportation Network Companies (TNCs) to achieve a balance between the volume of ride requests with numbers of available drivers on two-sided TNC markets. Given the desire to reduce operating costs and the emergence of Autonomous Vehicles (AVs), the introduction of TNC-owned AV fleets could convert such services into one-sided markets, where operators have full control of service supply. In this paper we investigate the impact of utility-based dynamic pricing for Autonomous TNCs (ATNCs) in one-sided markets. We test the method using an Agent-Based Model (ABM) of Greater London in conditions of monopoly and competition, focusing on a statically priced ATNC service that offers a mix of private and shared ride services. Public transport is considered as an alternative mode of transportation in both scenarios. Results indicate that in monopoly, dynamic pricing provides higher revenues than static pricing at non-peak hours when average waiting times are low. On the contrary, in competition, dynamic pricing is superior at peak hours where increased waiting times are observed, thus increasing the value of low waiting time rides. Overall, in both market structures, it is found that shared trips are more popular in dynamic pricing compared to static pricing.","PeriodicalId":395239,"journal":{"name":"2018 21st International Conference on Intelligent Transportation Systems (ITSC)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132726919","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 7

Evaluating the impact of real-time traffic control measures on the resilience of urban road networks 评价实时交通管制措施对城市道路网络弹性的影响

2018 21st International Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2018-11-01 DOI: 10.1109/ITSC.2018.8569678

S. Amini, G. Tilg, F. Busch

{"title":"Evaluating the impact of real-time traffic control measures on the resilience of urban road networks","authors":"S. Amini, G. Tilg, F. Busch","doi":"10.1109/ITSC.2018.8569678","DOIUrl":"https://doi.org/10.1109/ITSC.2018.8569678","url":null,"abstract":"This paper proposes a methodology to evaluate the performance of a road network during non-recurring congestion for real-time traffic control applications. A novel performance indicator based on the concept of the macroscopic fundamental diagram (MFD) is developed to assess the travel production of the network. The proposed indicator is obtained by calculating the weighted space-mean flow of an urban network, which is a proxy for the travel production of the corresponding network. The resilience of the road network is defined as its ability to retain the same level of travel production after occurrence of a disruption. This paper shows how real-time traffic control measures can enhance the resilience of the network. More specifically, the impact of re-routing as a real-time traffic management measure is investigated in a network where a link is closed due to an unpredictable incident. The main advantage of this approach in comparison to the existing travel time based approaches is that it neither requires a detailed model of the network nor a calibration of a dynamic traffic assignment model for different demand scenarios, as the MFD is a property of the network and is not sensitive to small changes in demand.","PeriodicalId":395239,"journal":{"name":"2018 21st International Conference on Intelligent Transportation Systems (ITSC)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127814505","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

A Revealed Preference Time of Day Model for Departure Time of Delivery Trucks in the Netherlands 荷兰货车出发时间的偏好时间模型

2018 21st International Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2018-11-01 DOI: 10.1109/ITSC.2018.8569509

Alexandra G. J. Vegelien, E. Dugundji

引用次数: 4

An HMI Concept to Improve Driver's Visual Behavior and Situation Awareness in Automated Vehicle 提高自动驾驶汽车驾驶员视觉行为和态势感知的HMI概念

2018 21st International Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2018-11-01 DOI: 10.1109/ITSC.2018.8569986

Yucheng Yang, B. Karakaya, G. C. Dominioni, K. Kawabe, K. Bengler

{"title":"An HMI Concept to Improve Driver's Visual Behavior and Situation Awareness in Automated Vehicle","authors":"Yucheng Yang, B. Karakaya, G. C. Dominioni, K. Kawabe, K. Bengler","doi":"10.1109/ITSC.2018.8569986","DOIUrl":"https://doi.org/10.1109/ITSC.2018.8569986","url":null,"abstract":"At a level-3 or higher level automation [1], a driver does not have to constantly monitor the vehicle and environment while driving, which enables the driver to conduct non-driving-related tasks (NDRTs) and be out of the control loop. This may influence a driver's visual behavior, cognitive states, which leads to loss of situation awareness (SA) and skills. This is dangerous if the automated system reaches its boundaries: the driver must take-over the driving task in a critical situation within a limited period of time. In this paper, a concise HMI concept of the LED ambient light positioned at the bottom of the windscreen is presented, which contains information about the status and intention of the automation, detected potential hazards and the warning for a take-over request (TOR) by varying the LED's color, frequency, lighting position and animation. The goal is to increase the SA during automated driving and improve the take-over quality while allowing the driver to perform NDRTs without distraction and annoyance. In this between-subject-design experiment in a static driving simulator, 50 participants performed a visual-motoric task on a smartphone during a 45-min automated drive with or without the new HMI. Compared to the baseline, results show significant improvements in the gaze behavior and take-over quality. The new HMI also shows a high acceptance and increases the trust in automation while avoiding overtrust.","PeriodicalId":395239,"journal":{"name":"2018 21st International Conference on Intelligent Transportation Systems (ITSC)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133759322","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 42

Towards Criticality Characterization of Situational Space 论态势空间的临界特征

2018 21st International Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2018-11-01 DOI: 10.1109/ITSC.2018.8569505

Daniel Stumper, K. Dietmayer

引用次数: 3

Real-Time Taxi Demand Prediction using data from the web 利用网络数据进行实时出租车需求预测

2018 21st International Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2018-11-01 DOI: 10.1109/ITSC.2018.8569015

Ioulia Markou, Filipe Rodrigues, F. Pereira

{"title":"Real-Time Taxi Demand Prediction using data from the web","authors":"Ioulia Markou, Filipe Rodrigues, F. Pereira","doi":"10.1109/ITSC.2018.8569015","DOIUrl":"https://doi.org/10.1109/ITSC.2018.8569015","url":null,"abstract":"In transportation, nature, economy, environment, and many other settings, there are multiple simultaneous phenomena happening that are of interest to model and predict. Over the last few years, the traffic data that we have at our disposal have significantly increased, and we have truly entered the era of big data for transportation. Most existing traffic flow prediction methods mainly focus on capturing recurrent mobility trends that relate to habitual/routine behaviour, and on exploiting short-term correlations with recent observation patterns. However, valuable information that is often available in the form of unstructured data is neglected when attempting to improve forecasting results. In this paper, we explore time-series data and textual information combinations using machine learning techniques in the context of creating a prediction model that is able to capture in real-time future stressful situations of the studied transportation system. Using publicly available taxi data from New York, we empirically show that the proposed models are able to significantly reduce the error in the forecasts. The final mean absolute error (MAE) of our predictions is decreased by 19.5% for a three months testing period and by 57% if we focus only on event periods.","PeriodicalId":395239,"journal":{"name":"2018 21st International Conference on Intelligent Transportation Systems (ITSC)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115544310","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 10

Leveraging Big Data Analytics for Train Schedule Optimization in Urban Rail Transit Systems 利用大数据分析优化城市轨道交通系统列车时刻表

2018 21st International Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2018-11-01 DOI: 10.1109/ITSC.2018.8569264

Yige Wang, Li Zhu, Qingqing Lin, Lin Zhang

引用次数: 3