Amit Chaulwar, M. Botsch, Torsten Krüger, T. Miehling
{"title":"Planning of Safe Trajectories in Dynamic Multi-Object Traffic-Scenarios","authors":"Amit Chaulwar, M. Botsch, Torsten Krüger, T. Miehling","doi":"10.18178/JTLE.4.2.135-140","DOIUrl":"https://doi.org/10.18178/JTLE.4.2.135-140","url":null,"abstract":"Active safety systems have a huge potential of increasing road traffic safety and are a necessary component of vehicles for autonomous driving. An algorithmic challenge of such systems is the prediction of collision-free trajectories in complex scenarios with multiple dynamic objects and curved roads. This work proposes an algorithm able to find safe trajectories in such an environment. The algorithm is dividing the prediction horizon into two intervals. In the first interval multiple collision-free trajectories are computed using an extension of the CL-RRT algorithm, introduced as Augmented CLRRT, which contains a controller to consider the nonlinear dynamics of vehicles. The safety levels of the found trajectories are evaluated using the second prediction time interval, by taking into account the steering effort that is necessary to travel to a safe region on the road. The efficiency of the proposed algorithm is demonstrated exemplarily using a simulation with multiple dynamic objects in a traffic scenario with a curved road.","PeriodicalId":372752,"journal":{"name":"Journal of Traffic and Logistics Engineering","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124504209","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}
T. Tai, R. Ngah, M. Z. Shah, Yousif Mohammed Yousif Ali
{"title":"Modelling Travel Demand Management Measurements towards Travel Behaviour with Psycho-Social, Trip Chain Attributes and Quality of Life: A Conceptual Paper","authors":"T. Tai, R. Ngah, M. Z. Shah, Yousif Mohammed Yousif Ali","doi":"10.18178/JTLE.4.2.141-146","DOIUrl":"https://doi.org/10.18178/JTLE.4.2.141-146","url":null,"abstract":"congestion due to rising population and urbanisation. Traffic congestion and associated problems have become a major worry for transport planners, politicians, and the public as it has negative economic, social, and environmental impact. Accordingly, public transport is encouraged. Initiatives to reduce traffic congestion, air pollution, greenhouse gas emissions, and traffic accident rates have been ineffective. Many megacities in developing countries have low public transportation mode shares despite high investment in public transportation infrastructure. To better manage supply and demand for transport, travel demand management (TDM) strategies must be implemented to manage imbalance of demand and supply. This conceptual paper explores Travel Demand Management Strategies to increase public transportation mode share through psycho-social variables, travel chain attributes, quality of life, and travel behaviour to explore better alternatives to encourage public transportation usage.","PeriodicalId":372752,"journal":{"name":"Journal of Traffic and Logistics Engineering","volume":"14 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120902906","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}
Khaled E. Aboelenen, Anas Mohammad, Moustafa I. Elgaar, P. Choe
{"title":"Trip Generation Rates Using Household Surveys in the State of Qatar","authors":"Khaled E. Aboelenen, Anas Mohammad, Moustafa I. Elgaar, P. Choe","doi":"10.18178/jtle.9.1.10-19","DOIUrl":"https://doi.org/10.18178/jtle.9.1.10-19","url":null,"abstract":"Investment in transportation can bring a range of economic, social, and environmental benefits. In order to manage resources effectively and to choose the best decision from a variety of investment options for the transportation projects, transportation model is normally used, moreover it can help in predicting the impact of these transportation project options on traveler’s mobility based on future changes in land uses, population, jobs, and other economic factors. Transportation modelling outputs will support in assessing transportation project options and setting the transportation investments priorities. Trip generation is considered the first step in four-stage transport modelling. It estimates the number of trips produced or attracted by households' members over one full day. In the paper, trip generation regression models were developed using household surveys for villas and apartments. The regression models for Villa is (0.357+1.3681X1+2.4914X2) were X1 and X2 and the number of people with driving license and number of active people (employees and students) respectively with an R2 of 0.65 , on the other hand the regression model for the apartment is (0.5323+0.9815X1+2.3961X2) with R2 of 0.54.","PeriodicalId":372752,"journal":{"name":"Journal of Traffic and Logistics Engineering","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121406595","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}
{"title":"Stochastic Planning Approach in Airport Passenger Terminals","authors":"Hesam. Shabani Verki, A. Mamdoohi, M. Saffarzadeh","doi":"10.12720/JTLE.1.1.77-81","DOIUrl":"https://doi.org/10.12720/JTLE.1.1.77-81","url":null,"abstract":"Motivated by the challenges encountered in airport passenger terminal planning, we study a multistage stochastic programming model based on a multi commodity flow network representation of the whole airport terminal. As delays in passageways and processing stations of airport terminal different uncertain natures, they are modeled separately and then integrated. In this study, we consider the airport terminal capacity planning problem as a whole. In this regard, we first derive time functions to approximate maximum delays in passageways and processing stations of an airport terminal. Demand uncertainty is considered as a dynamic stochastic data process during the planning horizon which is modeled as a scenario tree. Based on available data for the Imam Khomeini International Airport like passenger demands, a multi-stage stochastic programming model is proposed which is full recourse for demand scenarios. Numerical results indicate that the solution to the multi-stage model is far superior to the optimal solution to the mean-value deterministic and the three-stage stochastic models. ","PeriodicalId":372752,"journal":{"name":"Journal of Traffic and Logistics Engineering","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115935321","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}
{"title":"Intelligent Intersection Management of Autonomous Traffic Using Discrete-Time Occupancies Trajectory","authors":"Q. Lu, Kyoung-Dae Kim","doi":"10.18178/JTLE.4.1.1-6","DOIUrl":"https://doi.org/10.18178/JTLE.4.1.1-6","url":null,"abstract":"In this paper, a novel approach, called the Discrete-Time Occupancies Trajectory (DTOT), is proposed for intersection management of autonomous traffic in which all vehicles in the system are Autonomous Vehicles (AVs) and capable of wireless Vehicle-to-Intersection (V2I) communication. The main advantage of the proposed DTOT-based intersection management is that it enables us to utilize the space within an intersection more efficiently resulting in less delay for vehicles to cross the intersection. In the proposed framework, an intersection coordinates the motions of AVs based on their proposed DTOTs to let them cross the intersection efficiently while avoiding collisions. In case when there is a collision between vehicles' DTOTs, the intersection modifies conflicting DTOTs to avoid the collision and requests AVs to approach and cross the intersection according to the modified DTOTs. We verify the efficiency of the proposed approach through simulation using an open-source traffic simulator, called the Simulation of Urban Mobility (SUMO). To correctly capture the throughput and fairness of algorithms, we also defined a novel measure: Effective Average Trip Time. The simulation results show that DTOT algorithm performs better than other existing intersection management scheme: concurrent intersection management scheme. ","PeriodicalId":372752,"journal":{"name":"Journal of Traffic and Logistics Engineering","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125664476","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}
D. S. P. García, L. A. Lindau, C. Nodari, Escola de Engenharia
{"title":"Multivariate Operating Speed Forecasting Model Based on the Geometric Elements of Two-Lane Highways","authors":"D. S. P. García, L. A. Lindau, C. Nodari, Escola de Engenharia","doi":"10.12720/JTLE.1.2.97-103","DOIUrl":"https://doi.org/10.12720/JTLE.1.2.97-103","url":null,"abstract":"Operating speed forecasting models for two-lane highways have been used since the mid 1950s. Most of those models use the radius of curvature as the only independent variable. Although models that attempt to include other important geometric elements (longitudinal grade, curve side, road width, etc.) present higher coefficients of determination (R2), most times they turn out not to be statistically valid. That fact results from the correlation between the geometric variables of the design stage, characterizing their classification as independent variables and inflating the model. The use of multivariate analysis, using principal components allows the transformation of the geometric variables into orthogonal components in relation to each other, i.e., independent from each other. Using this tool, this paper presents an operating speed forecasting model using the geometric elements (radius, curve side, longitudinal grade) for two-lane highways in Brazil. The paper also presents a sensitivity analysis of the proposed model. ","PeriodicalId":372752,"journal":{"name":"Journal of Traffic and Logistics Engineering","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125664678","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}
{"title":"Mixed Flow Assembly Line Balancing Problem Considering Material Supply Strategy","authors":"Zhou Yujia, Shen Jin, Bin Wu, Chang Daofang","doi":"10.18178/jtle.9.2.27-31","DOIUrl":"https://doi.org/10.18178/jtle.9.2.27-31","url":null,"abstract":"With the capacity limitation of the assembly line buffer area, a method for solving the mixed flow assembly line balancing problem considering material supply strategy is proposed. This paper analyzes the changes in material transportation time and assembly time due to different supply strategies, and proposes a method for jointly modeling the assembly line balancing and material supply problem. In the case of meeting the production cycle, with the buffer area capacity as the limit and the shortest production operation time as the goal, a joint optimization model including material handling time, material transportation time and assembly line working time is established, and the model is designed for the established model Genetic algorithm with piecewise coding. Finally, the proposed algorithm was evaluated using a workshop raw date, the simulation results show that although the indirect supply cost is relatively more than the direct supply, it can effectively alleviate the problem of the capacity limitation of the buffer area.","PeriodicalId":372752,"journal":{"name":"Journal of Traffic and Logistics Engineering","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132052860","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}
{"title":"Accident Prediction Model-Case Study Region of Tangier","authors":"Marwane Benhadou, Ikram Chairi, A. Lyhyaoui","doi":"10.18178/jtle.7.1.23-27","DOIUrl":"https://doi.org/10.18178/jtle.7.1.23-27","url":null,"abstract":"Road accidents in Morocco cause more than 4,000 deaths each year and about 140 Million Dirhams (equivalent to about $14 million) of property damage. Many researchers have developed models to predict accidents and their causes, but it has not yet been possible to control this phenomenon, where the human factor plays a very important role. The dramatic increase of vehicle travel calls for an effective modeling of accidents prediction and their fatalities. In this paper, we propose an accident prediction model that relates accident frequency to various contributory factors, and is developed using linear regression techniques. In addition, this study investigates road traffic accident using descriptive statistics to compare the different modes of travel and other parameters. We will study particularly the region of Tangier who has known a great economic development in the last decade originating much traffic and displacements. ","PeriodicalId":372752,"journal":{"name":"Journal of Traffic and Logistics Engineering","volume":"204 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134099582","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}
{"title":"The New Challenges of Rail Security","authors":"Zakaryae Boudi, E. Koursi, M. Ghazel","doi":"10.18178/JTLE.4.1.56-60","DOIUrl":"https://doi.org/10.18178/JTLE.4.1.56-60","url":null,"abstract":"Providing an efficient, safe and secure transportation service is a core factor for European growth, collaboration and employment. As such, this has been identified as a priority in the Europe 2020 strategy. Land transportation has two main challenges concerning security: avoiding interrupts of transport itself in order to assure the flow of freight and passengers and avoiding those transportation systems themselves become a mean for attacks. The European project CARONTE (Creating an Agenda for Research on Transportation security) intends to establish a future research agenda for security in land transport, which focuses on the relevant security gaps caused by emerging risks. Considering the current state of the art and existing research projects, CARONTE covers all threats, including cyber-crime, and security aspects for all land transportation modes, with respect to fundamental human rights and privacy. Accordingly, this paper provides an overview on existing and emerging risks, in terms of security, facing the rail mode as well as the potential measures, based on the risk assessment methodology adopted in the project. This work explains how, from the project point of view, the rising of new cyber-risks and the fast evolution of threats led by technological progress in the rail industry constitute the main challenges of the European rail security nowadays.","PeriodicalId":372752,"journal":{"name":"Journal of Traffic and Logistics Engineering","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131344706","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}
{"title":"Failure links between public and private sector partners in transportation public private partnerships failures","authors":"M. A. Soomro, Xueqing Zhang","doi":"10.12720/JTLE.1.2.116-121","DOIUrl":"https://doi.org/10.12720/JTLE.1.2.116-121","url":null,"abstract":"In spite of increased popularity of Public Private Partnerships (PPPs) models for delivering public transportation infrastructures, the international experiences in recent past have shown massive problems and partnership failures. Motivated by such failures, the authors undertook case studies of thirty five failed transportation PPP projects in last two decades from developed and developing nations to evaluate root causes that drove transportation PPPs to the status rated as failure. The results of case studies yield a set of failure drivers caused transportation PPPs failures. The case studies also reveal the tendency of failure drivers to trigger new failure drivers, therefore confirming the causal relationships among failure drives. A causal relationship between two failure drivers is then termed as failure link. The identification of failure links not only reveals the causal relationships between failure drivers but also portrays the impact of actions of one partner on other project partners and on overall project progress. Following this identification, this paper discusses the failure links between public and private sectors; and explains that how the two primary partners in transportation PPPs create problems for each other. ","PeriodicalId":372752,"journal":{"name":"Journal of Traffic and Logistics Engineering","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123976479","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}